Alternatives to Qdrant

AddSearch transforms the way organizations connect users with information. More than just a traditional site search, AddSearch now offers AI Answers and AI Conversations, enabling businesses to deliver direct, conversational, and context-aware responses to user queries. These advanced capabilities complement AddSearch’s proven site search and content recommendation solutions, helping organizations create effortless, engaging, and personalized digital experiences. With AddSearch, you can choose between AI-driven answers, conversational interfaces, or lightning-fast search results—all fully customizable for websites, e-commerce platforms, or web applications. Our Crawler and Indexing API ensure your content is always up-to-date, while our expert implementation services save valuable developer time and maximize results. Today, nearly 2,000 customers worldwide—across Media, Telecommunications, Government, Education, E-commerce, and more—trust AddSearch to provide best-in-class search and AI-driven discovery. AddSearch product portfolio includes: - AI Answers – instant, accurate, and direct responses powered by generative AI. - AI Conversations – natural, chat-like interactions for deeper user engagement. - Autocomplete & Smart Ranking – predictive suggestions and optimized result ordering. - Personalized Search – tailored experiences based on behavior and preferences. - Content & Product Recommendations – boost engagement and conversions. - Advanced Analytics – insights into user behavior - Flexible Content Controls – include/exclude content, synonyms, filters, and facets, promote - Enterprise Features – SSO, organizational user management, audit logs, SLA up to 99.999%. - Seamless Implementation – works with any CMS, via crawler or API

SearchStax provides end-to-end search solutions to improve the search experience. SearchStax Site Search is a site search solution that enables companies to quickly, easily, and cost-effectively implement a high-quality search experience. SearchStax Manged Search is a fully managed Solr service to help minimize the need to managed search infrastructure. We have over 700 clients in 20+ countries. We were recognized by G2 as a High Performer for Enterprise Search. Site Search for Your Website Made Easy SearchStax Site Search provides advanced, modern, and personalized search for your website. • Best-in-Class search experience • Actionable search insight for executives and managers • Self-service tools that the marketing team can use to update and optimize search results without the need for developers • Quick Implementation for developers Fully-Managed Solr Service in the Cloud SearchStax Managed Search, a fully managed, hosted Solr service that automates, manages, and scales high-availability Solr infrastructures in public or private clouds. • Spend more time on value-added projects and build faster. • Scale faster with automation • Lower incident and SLA costs reduce costs

Algolia is an API platform for dynamic experiences that helps businesses maximize the speed of search and discovery, while solving the pain of relevance tuning through AI. Accessing the right piece of content on websites and apps has never been faster or more intuitive. Algolia Search is a powerful, fully hosted API that delivers content to users in milliseconds. Developers can customize the relevance of their user experience and get insights on how users interact with it. Algolia Recommend is a robust API that allows you to build unique product recommendations into any digital e-commerce experience.

Wizzy is an intelligent site search solution for eCommerce website owners. It offers comprehensive site search solutions, such as user-friendly search, user-friendly filter, merchandising, and personalisation. Benefits of using Wizzy -->Quickest Search results -Wizzy can help the end consumer find your products so quickly that they will never visit another site. -->Contextual search results -Since Wizzy is AI-powered, it can understand even if the customer uses a different search term. -->Improved sales - Wizzy helps customers find the right products faster, thus improving your overall sales. -->Influencer search results -Wizzy allows you to influence search results based on the SKUs you wish to show up at the top, or you can personalise search results for customers. Due to its ML-powered nature, Wizzy will continuously improve the customer experience. Try Wizzy now! 15-day Free trial!

Expertrec lets you add a custom search engine to your website/online store without any coding. It has a powerful control panel that lets you customize the look and feel of your search engine to match the theme of your website.  Features: Personalized search Autocomplete Spell correction Voice search Search as you type Faceted search PDF, XLS, DOCs search Indexing behind login pages Integrates across all major CMS platforms. WordPress / Joomla / Drupal/ Woocommerce/Shopify and more. Multiple languages supported Low latency high speed search Rated the best solution in our Category, with the highest customer ratings and success rates. Most cost-effective solution for your search needs.

Searching and analyzing structured data is easy; however, over 80% of generated data is unstructured, requiring a different approach. Machine learning converts unstructured data into high-dimensional vectors of numerical values, which makes it possible to find patterns or relationships within that data type. Unfortunately, traditional databases were never meant to store vectors or embeddings and can not meet unstructured data's scalability and performance requirements. Zilliz Cloud is a cloud-native vector database that stores, indexes, and searches for billions of embedding vectors to power enterprise-grade similarity search, recommender systems, anomaly detection, and more. Zilliz Cloud, built on the popular open-source vector database Milvus, allows for easy integration with vectorizers from OpenAI, Cohere, HuggingFace, and other popular models. Purpose-built to solve the challenge of managing billions of embeddings, Zilliz Cloud makes it easy to build applications for scale.

The AI Knowledge Platform. The Pinecone Database, Inference, and Assistant make building high-performance vector search apps easy. Fully managed and developer-friendly, the database is easily scalable without any infrastructure problems. Once you have vector embeddings created, you can search and manage them in Pinecone to power semantic searches, recommenders, or other applications that rely upon relevant information retrieval. Even with billions of items, ultra-low query latency Provide a great user experience. You can add, edit, and delete data via live index updates. Your data is available immediately. For more relevant and quicker results, combine vector search with metadata filters. Our API makes it easy to launch, use, scale, and scale your vector searching service without worrying about infrastructure. It will run smoothly and securely.

Transform your embeddings effortlessly with a single, powerful tool. Discover an extensive database crafted to deliver embedding capabilities that previously necessitated several different platforms, making it easier than ever to enhance your machine learning endeavors swiftly and seamlessly with Embeddinghub. Embeddings serve as compact, numerical representations of various real-world entities and their interrelations, represented as vectors. Typically, they are generated by first establishing a supervised machine learning task, often referred to as a "surrogate problem." The primary goal of embeddings is to encapsulate the underlying semantics of their originating inputs, allowing them to be shared and repurposed for enhanced learning across multiple machine learning models. With Embeddinghub, achieving this process becomes not only streamlined but also incredibly user-friendly, ensuring that users can focus on their core functions without unnecessary complexity.

Luigi's Box is a unique technological solution that uses AI to bring customers only relevant search results and personalized product suggestions, enhances the user experience, and unlocks the potential of your business. You can choose fromo different Luigi's Box products: Search and Autocomplete Recommender Product Listing Shopping Assistant Analytics It is a year-by-year awarded easy-to-operate solution with a support team that acts in the interest of your continuous success. Luigi's Box offers easy no-code self-service integration - you only need to paste the tracking script into the header of your web. But there is more; we understand that every platform has different needs and preferences, and therefore we offer several more integration options to choose from. Luigi's Box offers several advanced features to increase search relevance and revenue and avoid fruitless searches and other unnecessary troubles, which reached out and helped companies such as Notino, O2, Mountfield, and Dr. Max. These use cases are proof that Luigi's Box is suitable for any business or industry platform on the online market.

Weaviate serves as an open-source vector database that empowers users to effectively store data objects and vector embeddings derived from preferred ML models, effortlessly scaling to accommodate billions of such objects. Users can either import their own vectors or utilize the available vectorization modules, enabling them to index vast amounts of data for efficient searching. By integrating various search methods, including both keyword-based and vector-based approaches, Weaviate offers cutting-edge search experiences. Enhancing search outcomes can be achieved by integrating LLM models like GPT-3, which contribute to the development of next-generation search functionalities. Beyond its search capabilities, Weaviate's advanced vector database supports a diverse array of innovative applications. Users can conduct rapid pure vector similarity searches over both raw vectors and data objects, even when applying filters. The flexibility to merge keyword-based search with vector techniques ensures top-tier results while leveraging any generative model in conjunction with their data allows users to perform complex tasks, such as conducting Q&A sessions over the dataset, further expanding the potential of the platform. In essence, Weaviate not only enhances search capabilities but also inspires creativity in app development.

Chroma is an open-source embedding database that is designed specifically for AI applications. It provides a comprehensive set of tools for working with embeddings, making it easier for developers to integrate this technology into their projects. Chroma is focused on developing a database that continually learns and evolves. You can contribute by addressing an issue, submitting a pull request, or joining our Discord community to share your feature suggestions and engage with other users. Your input is valuable as we strive to enhance Chroma's functionality and usability.

Vespa is forBig Data + AI, online. At any scale, with unbeatable performance. Vespa is a fully featured search engine and vector database. It supports vector search (ANN), lexical search, and search in structured data, all in the same query. Integrated machine-learned model inference allows you to apply AI to make sense of your data in real-time. Users build recommendation applications on Vespa, typically combining fast vector search and filtering with evaluation of machine-learned models over the items. To build production-worthy online applications that combine data and AI, you need more than point solutions: You need a platform that integrates data and compute to achieve true scalability and availability - and which does this without limiting your freedom to innovate. Only Vespa does this. Together with Vespa's proven scaling and high availability, this empowers you to create production-ready search applications at any scale and with any combination of features.

Astra DB from DataStax is a real-time vector database as a service for developers that need to get accurate Generative AI applications into production, fast. Astra DB gives you a set of elegant APIs supporting multiple languages and standards, powerful data pipelines and complete ecosystem integrations. Astra DB enables you to quickly build Gen AI applications on your real-time data for more accurate AI that you can deploy in production. Built on Apache Cassandra, Astra DB is the only vector database that can make vector updates immediately available to applications and scale to the largest real-time data and streaming workloads, securely on any cloud. Astra DB offers unprecedented serverless, pay as you go pricing and the flexibility of multi-cloud and open-source. You can store up to 80GB and/or perform 20 million operations per month. Securely connect to VPC peering and private links. Manage your encryption keys with your own key management. SAML SSO secure account accessibility. You can deploy on Amazon, Google Cloud, or Microsoft Azure while still compatible with open-source Apache Cassandra.

LanceDB is an accessible, open-source database specifically designed for AI development. It offers features such as hyperscalable vector search and sophisticated retrieval capabilities for Retrieval-Augmented Generation (RAG), along with support for streaming training data and the interactive analysis of extensive AI datasets, making it an ideal foundation for AI applications. The installation process takes only seconds, and it integrates effortlessly into your current data and AI toolchain. As an embedded database—similar to SQLite or DuckDB—LanceDB supports native object storage integration, allowing it to be deployed in various environments and efficiently scale to zero when inactive. Whether for quick prototyping or large-scale production, LanceDB provides exceptional speed for search, analytics, and training involving multimodal AI data. Notably, prominent AI companies have indexed vast numbers of vectors and extensive volumes of text, images, and videos at a significantly lower cost compared to other vector databases. Beyond mere embedding, it allows for filtering, selection, and streaming of training data directly from object storage, thereby ensuring optimal GPU utilization for enhanced performance. This versatility makes LanceDB a powerful tool in the evolving landscape of artificial intelligence.

Vald is a powerful and scalable distributed search engine designed for fast approximate nearest neighbor searches of dense vectors. Built on a Cloud-Native architecture, it leverages the rapid ANN Algorithm NGT to efficiently locate neighbors. With features like automatic vector indexing and index backup, Vald can handle searches across billions of feature vectors seamlessly. The platform is user-friendly, packed with features, and offers extensive customization options to meet various needs. Unlike traditional graph systems that require locking during indexing, which can halt operations, Vald employs a distributed index graph, allowing it to maintain functionality even while indexing. Additionally, Vald provides a highly customizable Ingress/Egress filter that integrates smoothly with the gRPC interface. It is designed for horizontal scalability in both memory and CPU, accommodating different workload demands. Notably, Vald also supports automatic backup capabilities using Object Storage or Persistent Volume, ensuring reliable disaster recovery solutions for users. This combination of advanced features and flexibility makes Vald a standout choice for developers and organizations alike.

Semantee, a managed database that is easy to configure and optimized for semantic searches, is hassle-free. It is available as a set REST APIs that can be easily integrated into any application in minutes. It offers multilingual semantic searching for applications of any size, both on-premise and in the cloud. The product is significantly cheaper and more transparent than most providers, and is optimized for large-scale applications. Semantee also offers an abstraction layer over an e-shop's product catalog, enabling the store to utilize semantic search instantly without having to re-configure its database.

MyScale is a cutting-edge AI database that combines vector search with SQL analytics, offering a seamless, fully managed, and high-performance solution. Key features of MyScale include: - Enhanced data capacity and performance: Each standard MyScale pod supports 5 million 768-dimensional data points with exceptional accuracy, delivering over 150 QPS. - Swift data ingestion: Ingest up to 5 million data points in under 30 minutes, minimizing wait times and enabling faster serving of your vector data. - Flexible index support: MyScale allows you to create multiple tables, each with its own unique vector indexes, empowering you to efficiently manage heterogeneous vector data within a single MyScale cluster. - Seamless data import and backup: Effortlessly import and export data from and to S3 or other compatible storage systems, ensuring smooth data management and backup processes. With MyScale, you can harness the power of advanced AI database capabilities for efficient and effective data analysis.

Vectara offers LLM-powered search as-a-service. The platform offers a complete ML search process, from extraction and indexing to retrieval and re-ranking as well as calibration. API-addressable for every element of the platform. Developers can embed the most advanced NLP model for site and app search in minutes. Vectara automatically extracts text form PDF and Office to JSON HTML XML CommonMark, and many other formats. Use cutting-edge zero-shot models that use deep neural networks to understand language to encode at scale. Segment data into any number indexes that store vector encodings optimized to low latency and high recall. Use cutting-edge, zero shot neural network models to recall candidate results from millions upon millions of documents. Cross-attentional neural networks can increase the precision of retrieved answers. They can merge and reorder results. Focus on the likelihood that the retrieved answer is a probable answer to your query.

Zevi operates as an advanced search engine that utilizes natural language processing (NLP) and machine learning (ML) technologies to accurately interpret user search intentions. Rather than depending solely on keywords to generate pertinent search outcomes, Zevi employs sophisticated ML models trained on extensive multilingual datasets. This enables Zevi to present highly relevant results for any search query, thereby offering users a seamless search experience that reduces cognitive strain. Furthermore, Zevi empowers website owners to customize search results, highlight specific outcomes based on different parameters, and leverage search analytics to drive strategic business decisions. By doing so, Zevi not only enhances user satisfaction but also supports businesses in optimizing their online presence.

LlamaIndex serves as a versatile "data framework" designed to assist in the development of applications powered by large language models (LLMs). It enables the integration of semi-structured data from various APIs, including Slack, Salesforce, and Notion. This straightforward yet adaptable framework facilitates the connection of custom data sources to LLMs, enhancing the capabilities of your applications with essential data tools. By linking your existing data formats—such as APIs, PDFs, documents, and SQL databases—you can effectively utilize them within your LLM applications. Furthermore, you can store and index your data for various applications, ensuring seamless integration with downstream vector storage and database services. LlamaIndex also offers a query interface that allows users to input any prompt related to their data, yielding responses that are enriched with knowledge. It allows for the connection of unstructured data sources, including documents, raw text files, PDFs, videos, and images, while also making it simple to incorporate structured data from sources like Excel or SQL. Additionally, LlamaIndex provides methods for organizing your data through indices and graphs, making it more accessible for use with LLMs, thereby enhancing the overall user experience and expanding the potential applications.

A vector database designed for scalable similarity searches. Open-source, highly scalable and lightning fast. Massive embedding vectors created by deep neural networks or other machine learning (ML), can be stored, indexed, and managed. Milvus vector database makes it easy to create large-scale similarity search services in under a minute. For a variety languages, there are simple and intuitive SDKs. Milvus is highly efficient on hardware and offers advanced indexing algorithms that provide a 10x speed boost in retrieval speed. Milvus vector database is used in a variety a use cases by more than a thousand enterprises. Milvus is extremely resilient and reliable due to its isolation of individual components. Milvus' distributed and high-throughput nature makes it an ideal choice for large-scale vector data. Milvus vector database uses a systemic approach for cloud-nativity that separates compute and storage.

Cohere is a robust enterprise AI platform that empowers developers and organizations to create advanced applications leveraging language technologies. With a focus on large language models (LLMs), Cohere offers innovative solutions for tasks such as text generation, summarization, and semantic search capabilities. The platform features the Command family designed for superior performance in language tasks, alongside Aya Expanse, which supports multilingual functionalities across 23 different languages. Emphasizing security and adaptability, Cohere facilitates deployment options that span major cloud providers, private cloud infrastructures, or on-premises configurations to cater to a wide array of enterprise requirements. The company partners with influential industry players like Oracle and Salesforce, striving to weave generative AI into business applications, thus enhancing automation processes and customer interactions. Furthermore, Cohere For AI, its dedicated research lab, is committed to pushing the boundaries of machine learning via open-source initiatives and fostering a collaborative global research ecosystem. This commitment to innovation not only strengthens their technology but also contributes to the broader AI landscape.

Postgres now features open-source vector similarity search capabilities. This allows for both exact and approximate nearest neighbor searches utilizing L2 distance, inner product, and cosine distance metrics. Additionally, this functionality enhances the database's ability to manage and analyze complex data efficiently.

Vertex AI Search by Google Cloud serves as a robust, enterprise-level platform for search and retrieval, harnessing the power of Google's cutting-edge AI technologies to provide exceptional search functionalities across a range of applications. This tool empowers businesses to create secure and scalable search infrastructures for their websites, intranets, and generative AI projects. It accommodates both structured and unstructured data, featuring capabilities like semantic search, vector search, and Retrieval Augmented Generation (RAG) systems that integrate large language models with data retrieval to improve the precision and relevance of AI-generated outputs. Furthermore, Vertex AI Search offers smooth integration with Google's Document AI suite, promoting enhanced document comprehension and processing. It also delivers tailored solutions designed for specific sectors, such as retail, media, and healthcare, ensuring they meet distinct search and recommendation requirements. By continually evolving to meet user needs, Vertex AI Search stands out as a versatile tool in the AI landscape.

Help your website visitors become buyers. LupaSearch provides accurate search results to boost your business sales. Search marketing tools that increase conversion rates. Dynamic filtering and sorting, A/B tests, search result personalization, products merchandising. LupaSearch combines dashboard controls and analytics to continuously improve search, while keeping you in control of your customers' experience. Give your customers an experience they will remember. LupaSearch refines and speeds up ecommerce searches with features such as autocomplete in split seconds, synonym and typo recognition, spell check, support for multi-languages, and multi-alphabets. Your shoppers can now benefit from the most advanced search technology available. Visual search lets your shoppers search in any way they like.

Enhance your conversion rates with an advanced search capability that tailors the shopping experience, consistently displaying the most pertinent products through a groundbreaking search system specifically designed for online retail. This unified engine for e-commerce intuitively understands customer intent and context, utilizing special characters, measurements, attributes, modifiers, and categories through faceted search, mimicking the expertise of an actual sales associate. It ensures accurate search outcomes even when users mistype or include minor errors by employing intelligent autocorrect features. Moreover, the built-in synonym recognition across various languages allows for the delivery of pertinent search results that might otherwise be overlooked. To further elevate the user experience, you can effortlessly implement custom UX-blocks, enabling easy filtering by any product attribute to refine search or category results. Additionally, you can enrich the search experience by integrating highly relevant content from your blog, categories, and CMS pages, ensuring users find exactly what they need. By creating a seamless and intuitive search environment, customers are more likely to engage and make purchases.

Prefixbox’s AI Search, AI Navigation, AI Recommend and Insights solutions improve the shopping experience for increased conversion rate and revenue.

VectorDB is a compact Python library designed for the effective storage and retrieval of text by employing techniques such as chunking, embedding, and vector search. It features a user-friendly interface that simplifies the processes of saving, searching, and managing text data alongside its associated metadata, making it particularly suited for scenarios where low latency is crucial. The application of vector search and embedding techniques is vital for leveraging large language models, as they facilitate the swift and precise retrieval of pertinent information from extensive datasets. By transforming text into high-dimensional vector representations, these methods enable rapid comparisons and searches, even when handling vast numbers of documents. This capability significantly reduces the time required to identify the most relevant information compared to conventional text-based search approaches. Moreover, the use of embeddings captures the underlying semantic meaning of the text, thereby enhancing the quality of search outcomes and supporting more sophisticated tasks in natural language processing. Consequently, VectorDB stands out as a powerful tool that can greatly streamline the handling of textual information in various applications.

Celebros has developed a robust recommendation engine that effectively understands your product inventory and proposes relevant items to enhance your customers' shopping experience. Its Cross Sell feature utilizes sophisticated merchandising technology that analyzes real-time search data and user behavior, suggesting complementary products from your catalog as shoppers navigate from the landing page to their shopping carts. This innovative tool empowers customers to discover and buy additional items that pair well with their current selections. By leveraging advanced natural language processing algorithms and historical purchase data, Cross-Sell provides tailored product recommendations that can help boost your average order value (AOV) and create a more customized shopping journey. Moreover, the system allows you to configure the recommendations to align with your specific merchandising strategies, recognizing that different categories, brands, and SKUs require unique approaches rather than a one-size-fits-all solution. This level of personalization not only enhances customer satisfaction but also drives repeat business by fostering a more engaging shopping environment.

Klevu is an intelligent site-search solution that helps e-commerce businesses increase their onsite sales and improve customer online shopping experience. Klevu powers the navigation and search experience for thousands of enterprise and mid-level online retailers. It leverages advanced semantic search, natural word processing, merchandising, and multilingual capabilities to ensure that visitors to your site find exactly the information they need, regardless of device or query complexity.

Keyspider is a cloud-based enterprise search engine that provides accurate search results. Keyspider allows you to create your own custom website search without additional cost or time. Keyspider is able to understand the customer's needs and deliver the right results for their search queries. Websites can now enjoy better search results and more conversions. It aims to change the way customers navigate through customer websites using a search-as a-service that leaves no stone unturned. With tailored search, you can increase relevance across all mediums.

Objective is a versatile multimodal search API designed to work seamlessly with your needs, rather than requiring you to adapt to it. It comprehends both your data and your users, providing natural and relevant search outcomes even in cases of inconsistencies or gaps in the data. With the ability to understand human language and analyze images, Objective ensures that your web and mobile applications can interpret users' intentions and connect them with the visual meanings embedded in images. It excels in recognizing the intricate relationships within extensive text articles, allowing for the creation of contextually rich search experiences. The secret to top-tier search capabilities lies in a harmonious combination of various search techniques, focusing not on a singular method but on a well-integrated approach that incorporates the finest retrieval strategies available. Additionally, you can assess search outcomes on a large scale using Anton, your dedicated evaluation assistant, which can evaluate search results with remarkable accuracy, all through an easily accessible on-demand API. This comprehensive solution empowers developers to enhance user experience significantly.

Enter queries directly into our search interface or paste them, and our advanced AI will handle everything from there. Experience a significant efficiency boost of 50-80% with precise and relevant search outcomes. JAQI® simplifies the process by converting the way buyers articulate their needs into searchable keywords. Your ecommerce clients and sales representatives can bypass the tedious task of matching items to your catalog. Our search technology caters to industrial materials and offers extensive customization options. Eliminate the hassle of searching item by item through cumbersome drop-down menus or filters. Effortlessly search through 10, 20, or even over 100 line items at once and quickly incorporate them into your quotes. The JAQI API seamlessly integrates with ecommerce platforms such as websites and ERP systems, delivering swift and accurate search experiences for your users. This innovative technology transforms the way products are located within any catalog, regardless of the format. With JAQI, your ecommerce platform or ERP system is empowered by cutting-edge AI search capabilities, enhancing the overall user experience significantly.

Designed to cater to the intricate requirements of B2B enterprises, Big Zeta Keyword Search is user-friendly in both deployment and maintenance, providing advanced management and analytical reporting for your search initiatives. Eliminate the concerns over unreliable search outcomes or sluggish user experiences, as our state-of-the-art technology ensures consistent performance. It's time to elevate the importance of site search in your strategy. With our innovative features and comprehensive analytics platform, you can seamlessly integrate keyword search into your overarching digital approach. Big Zeta Keyword Search enhances the speed at which your customers locate information by delivering accurate context through various data sources, alongside a straightforward interface that guarantees timely and relevant results. Optimize Big Zeta Keyword Search by utilizing a site crawl or integrating with your content and product management systems. Additionally, benefit from automatic updates to ensure that your results remain current and reflective of the latest information available. This commitment to accuracy ensures that your website consistently provides the most relevant and timely search results to users.

Automate product discovery to learn customer intent. Machine learning can optimize results across the board. Personalize search, autosuggests, browse, and recommendation results for each user. Computational approaches that infer intent from a user's search query. Continuously updated search results rankings using automated learning from behavioral data. Data-driven, integrated effort to provide unique results for every person and query. Advanced tools to complement automated results with merchant expertise. Automate product discovery to learn customer intent. Machine learning can optimize results across the board. You can personalize search, autosuggest and browse results for each user. Natural language processing interprets the query and provides conversion-worthy results as users type. Constructor Search learns from behavioral data.

Harness the power of NoCode, REST APIs, or JavaScript components to create highly sophisticated search experiences for your applications. Build your search functionalities on your preferred tech stack while accelerating delivery by tenfold. Tailor user intent detection, configure search parameters, manage user language preferences, incorporate synonyms, and establish business rules, all deployable within seconds. Gain immediate access to search analytics and insights that facilitate ongoing enhancements in relevance and user engagement. Appbase.io is fueled by the top-tier search engine, Elasticsearch, allowing you to utilize your own Elasticsearch instance or leverage appbase.io’s hosting services, which come with an application layer cache for unparalleled search performance. The service is available across 16 global regions and is designed with double failover protection for added reliability. Alternatively, you can opt for self-hosting through our Docker image. Implement detailed access controls based on routes or fields and generate multiple dedicated keys for various purposes. Built-in features allow you to enforce rate limits, restrict access by IPs, and more, ensuring a comprehensive out-of-the-box solution. Collaborate securely with your team by establishing specialized access policies on appbase.io, enhancing both teamwork and security. This flexibility and efficiency in managing search capabilities can significantly transform how users interact with your application.

Are you in search of an effective onsite search solution that is both feature-rich and budget-friendly? Meet Sooqr, an all-encompassing onsite search engine designed to enhance visitor satisfaction and increase conversion rates. With a simple installation process that takes just 15 minutes and requires no developer assistance, it seamlessly integrates with a variety of eCommerce platforms. Sooqr offers all necessary functionalities without the usual setup complications, making it a cost-effective choice. It provides 'instant search', delivering relevant results with just a single keystroke—eliminating wait times and ensuring a smooth user experience. Even if your visitors make typographical errors like ‘ihpone’ or ‘samsnug’, Sooqr's impressive error tolerance addresses about 80% of these mistakes, ensuring accurate results. While the search results are being generated, Sooqr presents filters or facets that relate directly to the findings, simplifying the search process and aiding your visitors in quickly locating the desired product or content. This combination of speed and accuracy makes Sooqr an invaluable asset for any online business.

Enhance your embedding metadata and tokens through an intuitive user interface. By employing sophisticated NLP cleansing methods such as TF-IDF, you can normalize and enrich your embedding tokens, which significantly boosts both efficiency and accuracy in applications related to large language models. Furthermore, optimize the pertinence of the content retrieved from a vector database by intelligently managing the structure of the content, whether by splitting or merging, and incorporating void or hidden tokens to ensure that the chunks remain semantically coherent. With Embedditor, you gain complete command over your data, allowing for seamless deployment on your personal computer, within your dedicated enterprise cloud, or in an on-premises setup. By utilizing Embedditor's advanced cleansing features to eliminate irrelevant embedding tokens such as stop words, punctuation, and frequently occurring low-relevance terms, you have the potential to reduce embedding and vector storage costs by up to 40%, all while enhancing the quality of your search results. This innovative approach not only streamlines your workflow but also optimizes the overall performance of your NLP projects.

Lily AI transforms the shopping landscape by integrating consumer-focused language across the entire retail framework, thereby optimizing technology expenditures to achieve a revenue increase that can exceed nine figures. By converting qualitative product characteristics into a universally applicable, customer-oriented mathematical language with unmatched precision, Lily AI provides a level of attribution that stands unrivaled in the industry. Enhance your current ecommerce systems, search engines, PIM, and SEO/SEM strategies with the most comprehensive and precise product attribution data available in the market, boasting over 20,000 attributes and continuously growing. This revolutionary approach not only elevates consumer engagement but also empowers businesses to make informed decisions based on rich data insights.

ZeusDB represents a cutting-edge, high-efficiency data platform tailored to meet the complexities of contemporary analytics, machine learning, real-time data insights, and hybrid data management needs. This innovative system seamlessly integrates vector, structured, and time-series data within a single engine, empowering applications such as recommendation systems, semantic searches, retrieval-augmented generation workflows, live dashboards, and ML model deployment to function from one centralized store. With its ultra-low latency querying capabilities and real-time analytics, ZeusDB removes the necessity for disparate databases or caching solutions. Additionally, developers and data engineers have the flexibility to enhance its functionality using Rust or Python, with deployment options available in on-premises, hybrid, or cloud environments while adhering to GitOps/CI-CD practices and incorporating built-in observability. Its robust features, including native vector indexing (such as HNSW), metadata filtering, and advanced query semantics, facilitate similarity searching, hybrid retrieval processes, and swift application development cycles. Overall, ZeusDB is poised to revolutionize how organizations approach data management and analytics, making it an indispensable tool in the modern data landscape.

Access a multitude of systems and corporate documents across various platforms while managing vast amounts of data effortlessly. The integration of advanced neural search methods with enterprise search capabilities and a variety of standard connectors creates a revolutionary search experience. INTERGATOR Cloud can be hosted by a German provider, ensuring adherence to stringent German and European legal standards, particularly in data protection. As your needs evolve, we adapt; INTERGATOR Cloud can be scaled seamlessly to accommodate fluctuating search demands. Retrieve your company’s data from anywhere globally, eliminating the need for complicated VPN setups. Utilizing Natural Language Processing (NLP) alongside neural networks, models are developed to distill crucial information from data and documents, taking into account the complete information repository. This results in a thorough solution that enhances both information retrieval and knowledge management, providing you with the insights you need. In this way, your organization can stay ahead in an increasingly data-driven world.

Swiftype Site Search provides companies and their users with a speedy and adaptable search functionality for websites. By integrating Swiftype Site Search, organizations can offer a tool that enables customers, visitors, and followers to easily discover pertinent information. This solution is customizable to cater to the unique requirements of various businesses, whether they are e-commerce platforms aiming to enhance sales or digital publications striving to improve user interaction and engagement. Ultimately, it ensures that users have a seamless and efficient search experience tailored to their needs.

TopK is a cloud-native document database that runs on a serverless architecture. It's designed to power search applications. It supports both vector search (vectors being just another data type) as well as keyword search (BM25 style) in a single unified system. TopK's powerful query expression language allows you to build reliable applications (semantic, RAG, Multi-Modal, you name them) without having to juggle multiple databases or services. The unified retrieval engine we are developing will support document transformation (automatically create embeddings), query comprehension (parse the metadata filters from the user query), adaptive ranking (provide relevant results by sending back "relevance-feedback" to TopK), all under one roof.

Site search should work for you. Our solution combines simple setup and out-of the-box functionality with the ability for you to have full control over your search results. Get started today with high-quality site search to scale up your business. Cludo is a user-friendly product that can be used by marketers and webmasters alike. With valuable tools and features like autocomplete, intelligent 404 pages, time-sensitive banners, and more, Cludo puts you in control of your site search solution. You deserve more than just fulfilling your searches. Cludo provides an easy-to-understand dashboard with comprehensive analytics. You can increase conversions and site time by making content decisions based upon what users are actually searching.

Enhance the search functionality on your website to boost conversions and create a superior shopping experience. Our advanced search feature allows you to instantly present all pertinent products in your online store that align with what your visitors are seeking. Moreover, it highlights items that your audience may not yet be aware of but are likely to consider purchasing. This approach ensures that visitors can quickly and efficiently locate what they desire, leading to increased satisfaction and higher chances of conversion. By utilizing our software, you can develop a comprehensive product catalog and seamlessly integrate it with your online store, ensuring that every search yields relevant product suggestions from your inventory. This not only benefits your customers by providing them with tailored options but also gives you greater oversight of your stock levels and enhances your overall conversion rates. With Spotler Search, you have the flexibility to refine search outcomes whenever necessary; if you believe that your visitors would benefit from improved search results, adjusting the settings is a straightforward process. In doing so, you can continually optimize the shopping experience for your users.