Alternatives to Hulbee Enterprise Search

Guru is an AI search and knowledge platform that delivers trusted information from your company's scattered docs, apps, and chats the moment you need it without leaving the apps you’re already in. No need to dig for information, Guru’s personalized AI assistant gets you verified/trusted, relevant answers. Guru's AI can turn those answers into an AI-powered knowledge platform to replace your legacy wiki and intranet too. Guru natively integrates with Slack, Google, Microsoft Sharepoint, OneDrive, and Teams, Salesforce, Zendesk, Atlassian Confluence, Atlassian Jira, Dropbox, Box, Google Drive, Asana, HubSpot, ClickUp, GitHub, GitLab, Intercom, ServiceNow, Linear, Front, and more

Haystack connects every employee of your organization with the people, resources, and information they need to thrive and succeed. Haystack provides employees with a fun, intuitive and informative way to start the day. Custom branding with no-code and a modular layout make it easy to highlight key resources, organizational culture, and knowledge. Haystack's automated multi-channel delivery, combined with actionable analytics, makes it easy for you to reach your employees at the right time and place. Spend less time looking for information and more on achieving your goals. Haystack’s knowledge-sharing features make it easy for employees to get the materials they need, no matter where in the world they are. It can be difficult to stay connected with everyone as teams grow and change. Haystack’s rich employee profiles and company directory make colleagues around the world feel as if they are right across the room.

Leverage AI-driven search capabilities to extract precise answers and identify trends from various documents and websites. Watson Discovery utilizes advanced, industry-leading natural language processing to comprehend the distinct terminology of your sector, swiftly locating answers within your content and revealing significant business insights from documents, websites, and large datasets, thereby reducing research time by over 75%. This semantic search transcends traditional keyword-based searches; when you pose a question, Watson Discovery contextualizes the response. It efficiently scours through data in connected sources, identifies the most pertinent excerpts, and cites the original documents or web pages. This enhanced search experience, powered by natural language processing, ensures that vital information is readily accessible. Moreover, it employs machine learning techniques to categorize text, tables, and images visually, all while highlighting the most relevant outcomes for users. The result is a comprehensive tool that transforms how organizations interact with information.

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.

Mistral AI stands out as an innovative startup in the realm of artificial intelligence, focusing on open-source generative solutions. The company provides a diverse array of customizable, enterprise-level AI offerings that can be implemented on various platforms, such as on-premises, cloud, edge, and devices. Among its key products are "Le Chat," a multilingual AI assistant aimed at boosting productivity in both personal and professional settings, and "La Plateforme," a platform for developers that facilitates the creation and deployment of AI-driven applications. With a strong commitment to transparency and cutting-edge innovation, Mistral AI has established itself as a prominent independent AI laboratory, actively contributing to the advancement of open-source AI and influencing policy discussions. Their dedication to fostering an open AI ecosystem underscores their role as a thought leader in the industry.

Achieve exceptional response quality through a vector database specifically designed for advanced retrieval augmented generation (RAG) and contemporary search functionalities. Emphasize substantial growth with a robust, enterprise-ready vector database that inherently includes security, compliance, and ethical AI methodologies. Create superior applications utilizing advanced retrieval techniques that are underpinned by years of research and proven customer success. Effortlessly launch your generative AI application with integrated platforms and data sources, including seamless connections to AI models and frameworks. Facilitate the automatic data upload from an extensive array of compatible Azure and third-party sources. Enhance vector data processing with comprehensive features for extraction, chunking, enrichment, and vectorization, all streamlined in a single workflow. Offer support for diverse vector types, hybrid models, multilingual capabilities, and metadata filtering. Go beyond simple vector searches by incorporating keyword match scoring, reranking, geospatial search capabilities, and autocomplete features. This holistic approach ensures that your applications can meet a wide range of user needs and adapt to evolving demands.

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.

Kore.ai enables enterprises worldwide to harness the power of AI for automation, efficiency, and customer engagement through its advanced AI agent platform and no-code development tools. Specializing in AI-powered work automation, process optimization, and intelligent service solutions, Kore.ai provides businesses with scalable, customizable technology to accelerate digital transformation. The company takes a model-agnostic approach, offering flexibility across various data sources, cloud environments, and applications to meet diverse enterprise needs. With a strong track record, Kore.ai is trusted by over 500 partners and 400 Fortune 2000 companies to drive their AI strategies and innovation. Recognized as an industry leader with an extensive patent portfolio, it continues to push the boundaries of AI-driven solutions. Headquartered in Orlando, Kore.ai maintains a global presence with offices in India, the UK, the Middle East, Japan, South Korea, and Europe, ensuring comprehensive support for its customers. Through cutting-edge AI advancements, Kore.ai is shaping the future of enterprise automation and intelligent customer interactions.

Welcome to the age of Big Data, where insights driven by data can revolutionize your enterprise. You are on the verge of unveiling an exceptional solution: an innovative, robust, and adaptable platform equipped with all the essential features for Search, Discovery, and Analytics of your data. We proudly present 3RDi, known as the "Third Eye." This semantic search engine is specifically crafted to empower your business in taking decisive actions, enhancing revenue streams, and minimizing expenses! With its foundation in natural language processing and semantic search capabilities, it is tailored for comprehensive information analysis across multiple dimensions while ensuring effective management of search relevancy. Explore this all-encompassing and scalable platform that addresses every challenge in search and text mining, ranging from the management of unstructured content to extracting profound actionable insights that can propel your business forward. 3RDi transcends the role of a mere search tool; it serves as a holistic suite of solutions encompassing text mining, enterprise search, content integration, governance, analytics, and much more, ensuring you are equipped for success in a data-driven world. By leveraging 3RDi, you can unlock the full potential of your data and drive meaningful growth.

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.

Nearly every search query related to Big Data yields an overwhelming number of results, making it nearly unmanageable to sift through them effectively. Individual users possess distinct requirements, and relying solely on user queries alongside broad data statistics often fails to yield valuable outcomes. Fields such as eDiscovery, healthcare, finance, law enforcement, consulting, and academia require the capability to swiftly locate precise information. Rinalogy Search is an advanced search solution that employs machine learning to adaptively learn from each user, delivering personalized results informed by real-time user feedback. It provides relevancy scores for each document retrieved in response to a query, enhancing the search experience. Furthermore, Rinalogy Search can be integrated into clients' IT systems, ensuring proximity to data while maintaining security through firewall protection. Users can also prioritize search concepts by assigning them weights, facilitating a more targeted approach to finding the information they need. This innovative tool empowers users to navigate complex datasets with greater efficiency and accuracy than ever before.

Bloomreach transforms the e-commerce landscape through personalization. Its innovative data engine consolidates real-time information about customers and products, enabling businesses to gain insights into true customer desires. By linking this insight across various channels, the e-commerce experience becomes boundless, adapting to customers’ evolving preferences as they shop. Powered by Loomi, Bloomreach's AI platform for e-commerce, this approach opens up countless new avenues for making purchases. The suite of Bloomreach products encompasses Engagement, a marketing automation tool; Discovery, an advanced e-commerce search solution; Content, a headless content management system; and Clarity, which offers AI-driven conversational shopping experiences. With numerous AI patents to its name, the company caters to a diverse array of global brands, including Williams-Sonoma, Bosch, Puma, and Marks & Spencer, illustrating its broad market impact. This comprehensive approach ensures that businesses remain competitive in a rapidly changing digital marketplace.

Create a natural language interface to your data. NLP is the heart of modern enterprise data processing. We provide developers the tools they need to quickly and efficiently build NLP systems that are ready for production. Our open-source framework allows for API-driven, scalable NLP application architectures. We believe in sharing. Our software is open-source. We value our community and make modern NLP accessible, practical, scalable, and easy to use. Natural language processing (NLP), a branch in AI, allows machines to interpret and process human language. Companies can use human language to interact and communicate with data and computers by implementing NLP. NLP is used in areas such as semantic search, question answering (QA), conversational A (chatbots), text summarization and question generation. It also includes text mining, machine translation, speech recognition, and text mining.

Licensed under Apache v2, Datafari is a comprehensive business search engine that provides a variety of connectors and user-friendly interfaces for both users and administrators. Additionally, it incorporates enterprise security protocols while also offering a commercial option that includes support services. In essence, Datafari offers a unique advantage by being one of the few packaged solutions available under the Apache license, effectively removing barriers for companies wishing to develop and market their own products based on similar technologies. With Datafari, this potential is fully realized, and it stands out as the sole solution capable of integrating SolrCloud, which allows for seamless scalability. Numerous clients are already benefiting from Datafari's implementation, with executable files accessible on the reference site dedicated to it. Furthermore, the source code can be found on GitHub, and users are encouraged to engage with the community through the Datafari forum for support and discussion. This collaborative approach not only enhances user experience but also fosters innovation within the Datafari ecosystem.

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.

*GraphDB allows the creation of large knowledge graphs by linking diverse data and indexing it for semantic search. * GraphDB is a robust and efficient graph database that supports RDF and SPARQL. The GraphDB database supports a highly accessible replication cluster. This has been demonstrated in a variety of enterprise use cases that required resilience for data loading and query answering. Visit the GraphDB product page for a quick overview and a link to download the latest releases. GraphDB uses RDF4J to store and query data. It also supports a wide range of query languages (e.g. SPARQL and SeRQL), and RDF syntaxes such as RDF/XML and Turtle.

IntraFind's iFinder offers a comprehensive search solution that serves as a hub for all of your organization’s data. This platform seamlessly connects to various data sources within your enterprise. As your data repositories expand, iFinder prepares you for the future: leveraging Elasticsearch technology, it can effortlessly scale to accommodate any data volume. By utilizing artificial intelligence, it enhances search outcomes, providing intelligent enterprise search capabilities. Whether your essential documents and information reside on company drives, intranet pages, wikis, or email systems, iFinder streamlines the process of locating them. Embrace the next phase of your organization's digital evolution by centralizing access to all data through our innovative enterprise search solution. By implementing iFinder, you're not just enhancing search efficiency; you're also optimizing how your team interacts with information.

The Apache Lucene™ initiative is dedicated to creating open-source search technology. This initiative not only offers a fundamental library known as Lucene™ core but also includes PyLucene, which serves as a Python interface for Lucene. Lucene Core functions as a Java library that delivers robust features for indexing and searching, including capabilities for spellchecking, hit highlighting, and sophisticated analysis/tokenization. The PyLucene project enhances accessibility by allowing developers to utilize Lucene Core through Python. Backing this initiative is the Apache Software Foundation, which supports a variety of open-source software endeavors. Notably, Apache Lucene is made available under a license that is favorable for commercial use. It has established itself as a benchmark for search and indexing efficiency. Furthermore, Lucene is the foundational search engine for both Apache Solr™ and Elasticsearch™, which are widely used in various applications. From mobile platforms to major websites like Twitter, Apple, and Wikipedia, our core algorithms, together with the Solr search server, enable a multitude of applications globally. Ultimately, the objective of Apache Lucene is to deliver exceptional search capabilities that meet the needs of diverse users. Its continuous development reflects the commitment to innovation in search technology.

Pigro is an innovative search engine powered by artificial intelligence, specifically crafted to improve productivity in medium to large organizations by delivering quick and accurate responses to user inquiries in natural language. It seamlessly connects with various document storage systems, such as Office-like files, PDFs, HTML, and plain text across multiple languages, automatically importing and refreshing content to remove the burden of manual management. Its sophisticated AI-driven text chunking method analyzes the structure and meaning of documents, ensuring that users receive precise information when needed. With its self-learning features, Pigro consistently enhances the quality and accuracy of its responses, proving to be an indispensable asset for departments including customer service, HR, sales, and marketing. Furthermore, Pigro integrates effortlessly with internal company platforms like intranet sites, CRM systems, and knowledge management tools, allowing for real-time updates while preserving existing access rights. This makes it not only a powerful search tool but also a catalyst for improved collaboration and efficiency across teams.

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.

Achieve greater precision in results with the Inbenta Semantic Search Engine, which comprehends the intent behind customer inquiries. As the most commonly utilized self-service feature, found on 85% of websites, the capability to present the most pertinent information can significantly impact the quality of the customer experience on your site. Inbenta Search aggregates information from various customer relationship management platforms like Salesforce.com and Zendesk, as well as other specified online sources. By leveraging Inbenta's Symbolic AI and Natural Language Processing technologies, this advanced semantic search system effectively interprets user questions, swiftly provides the best answers, and helps lower your support expenses. Furthermore, adopting Inbenta's Symbolic AI technology eliminates the need for extensive data training, allowing for rapid deployment and immediate advantages from the Inbenta Search engine. This means that businesses can enhance customer satisfaction while also streamlining their operational costs efficiently.

Vantage Discovery is an innovative SaaS platform powered by generative AI, designed to enhance intelligent search, discovery, and tailored recommendations, enabling retailers to provide exceptional user experiences. By leveraging the capabilities of generative AI, businesses can develop semantic search functionalities, enriching product discovery, and crafting personalized suggestions. This platform revolutionizes traditional search methods by shifting from keyword reliance to understanding natural language, thereby capturing the user's intent, context, and meaning to offer remarkable experiences. By focusing on user interests, preferences, and the merchandising objectives of the retailer, Vantage Discovery allows for the creation of entirely new and engaging discovery experiences. It can return highly personalized and precise results from millions of items in mere milliseconds, thanks to its semantic comprehension of user queries and individual styles. With straightforward APIs, Vantage Discovery empowers companies to deliver exceptional user experiences, making the process both efficient and effective. The ability to continuously adapt and improve recommendations based on user interactions further enhances the platform's effectiveness.

Cloud Search offers the power of Google Search tailored for your business, enabling a comprehensive enterprise search experience. It can be utilized in conjunction with G Suite or as an independent tool to link various third-party applications and data sources, allowing employees to efficiently and securely locate information throughout the organization. The process of searching through corporate data is simplified with Cloud Search. By leveraging machine learning, it provides immediate query suggestions and highlights the most pertinent results from over 100 content platforms in more than 100 languages. Essentially, Cloud Search mirrors Google's capabilities for the web, but focuses on enhancing enterprise search for organizations. Additionally, it provides enterprise search solutions through sturdy SDKs and user-friendly APIs, making it easy to scale and index extensive data from diverse origins. With more than 100 connectors available, you can seamlessly integrate and index content from a wide array of enterprise sources, ensuring that your business's information is always at your fingertips. This innovative search solution empowers employees to enhance their productivity and decision-making processes.

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.

Dgraph is an open-source, low-latency, high throughput native and distributed graph database. DGraph is designed to scale easily to meet the needs for small startups and large companies with huge amounts of data. It can handle terabytes structured data on commodity hardware with low latency to respond to user queries. It addresses business needs and can be used in cases that involve diverse social and knowledge networks, real-time recommendation engines and semantic search, pattern matching, fraud detection, serving relationship information, and serving web applications.

OpenAI aims to guarantee that artificial general intelligence (AGI)—defined as highly autonomous systems excelling beyond human capabilities in most economically significant tasks—serves the interests of all humanity. While we intend to develop safe and advantageous AGI directly, we consider our mission successful if our efforts support others in achieving this goal. You can utilize our API for a variety of language-related tasks, including semantic search, summarization, sentiment analysis, content creation, translation, and beyond, all with just a few examples or by clearly stating your task in English. A straightforward integration provides you with access to our continuously advancing AI technology, allowing you to explore the API’s capabilities through these illustrative completions and discover numerous potential applications.

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.

This software allows you to efficiently search, manage, and share all files located on your desktop as well as across various cloud storage services. As the amount of valuable data on your computers continues to grow, you may find that while many files are stored in the cloud, the majority of your important documents and images remain on your local machine. Locating these files can be a challenging task, consuming precious time that could be better spent. With QuikFynd, you can effortlessly locate files on your computer, network drives, removable devices, and cloud platforms. Not only is QuikFynd beautifully designed and user-friendly, but it also packs a powerful punch. Its advanced features allow you to search by keywords within documents, identify objects in images, and even automatically tag your files through machine learning. This means you can spend less time searching and more time focusing on what truly matters.

Elastic is a search company. Elasticsearch, Kibana Beats, Logstash, and Elasticsearch are the founders of the ElasticStack. These SaaS offerings allow data to be used in real-time and at scale for analytics, security, search, logging, security, and search. Elastic has over 100,000 members in 45 countries. Elastic's products have been downloaded more than 400 million times since their initial release. Today, thousands of organizations including Cisco, eBay and Dell, Goldman Sachs and Groupon, HP and Microsoft, as well as Netflix, Uber, Verizon and Yelp use Elastic Stack and Elastic Cloud to power mission critical systems that generate new revenue opportunities and huge cost savings. Elastic is headquartered in Amsterdam, The Netherlands and Mountain View, California. It has more than 1,000 employees in over 35 countries.

NeuraVid is an innovative platform that leverages artificial intelligence to analyze video content and convert it into meaningful insights. It provides top-notch transcription capabilities with exceptional accuracy, effectively transforming spoken words into text while distinguishing between different speakers and incorporating word-level timestamps. Supporting over 40 languages, it caters to a diverse global audience. The platform's AI-driven semantic search feature empowers users to quickly pinpoint specific moments in videos, going beyond simple keyword searches to find contextually relevant material. Furthermore, NeuraVid automatically creates smart chapters and succinct summaries, enhancing the ease of navigation through extended video content. An additional highlight of NeuraVid is its AI-powered video assistant, which enables users to engage with their videos interactively, retrieving insights, summaries, and answers to inquiries about the content as they watch. This unique combination of features makes NeuraVid an invaluable tool for anyone working with video content.

Enterprise Search from Hyland enables users to find precise information from inside any type of document, file and email generated across the organization and located in content repositories, SharePoint sites, email systems, network shares, intranets, extranets, websites, databases, social media and other places.

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.

Amazon Kendra is an exceptionally precise and user-friendly enterprise search solution driven by machine learning technology. It provides robust natural language search functionalities for your websites and applications, allowing users to effortlessly locate the information they require amidst the extensive content available within your organization. By utilizing natural language inquiries rather than merely basic keywords, you can obtain the information you seek, whether it be specific answers, frequently asked questions, or complete documents. This eliminates the frustration of navigating through lengthy lists of links in hopes of finding relevant information. Say farewell to information silos, as Kendra enables seamless integration of content from various sources such as file systems, SharePoint, intranet sites, and file sharing services into a unified location, facilitating swift searches for optimal answers. Over time, the accuracy of your search results improves, thanks to Kendra's machine learning algorithms, which adapt to understand and prioritize the most valuable results for your users. This continual enhancement ensures that users consistently receive the most relevant and useful information with every search query they perform.

INDICA Enterprise Search provides a fast and efficient way for organizations to navigate their systems and locate necessary data almost instantaneously. In contrast to other solutions in the market, INDICA's innovative data platform utilizes a patented approach to index both structured and unstructured data while prioritizing results based on relevance. This functionality empowers users to pinpoint the precise information they seek with minimal effort. Built on the foundation of our Basic Data Platform and Enterprise Search Module, the solution can be customized with additional features or modules to meet specific needs. Furthermore, it includes a sophisticated query builder that enables users to effortlessly formulate precise search queries that yield only pertinent results. The INDICA Enterprise Search allows for comprehensive filtering options, including document type, date, data source, paths, and access levels, ensuring users can tailor their search experience. Additionally, results can be sorted by various criteria such as date, name, size, and more, enhancing the overall efficiency of the search process. By leveraging INDICA Enterprise Search, organizations can maximize their data utilization and streamline their information retrieval operations.

Using ayfie Locator enterprise search software and indexing software, you can eliminate data silos, improve user experience, increase productivity, and gain greater IT agility without losing your control. Your employees will be able to find information they didn’t know existed with ayfie Locator. All you need to do is use a single search bar to instantly access information that was previously locked away. Locator can help you locate files and their locations, but all rights management is still in place to protect the content and control distribution. Using ayfie Locator's prebuilt connectors for major ECM systems, email clients and database technologies makes setup easy. You don't need to customize and spend countless hours setting up the powerful knowledge discovery platform and search engine. All you need to do is set up a few settings.

An enterprise search solution, often referred to as a company search engine, empowers employees to effortlessly locate information from various accessible sources, including their emails, Office documents, SharePoint, blogs, and more. With the capability of full-text search, users need only enter a single search term to instantly access all relevant information, no matter how the files are labeled. As the volume of data continues to increase due to ongoing digitization within organizations, the enterprise search software INTRASEARCH® (PDF) equips your team to navigate through the overwhelming amount of information efficiently, allowing them to concentrate on more critical tasks. You have the flexibility to choose the INTRASEARCH® model that best fits your needs, with a rental option that guarantees you receive the most cost-effective solution tailored to your specific search requirements. This approach makes it feasible for small and medium-sized enterprises to discover an appropriate solution that meets their needs. Ultimately, INTRASEARCH® not only enhances productivity but also simplifies the process of information retrieval, making it an invaluable asset for any organization.

Crestadoro is an indexing and searching tool for files that can be used in a network. You can install Crestadoro on multiple Windows machines. Create libraries of documents on each machine and then search for files anywhere on your network.

OpenText Aviator Search is an advanced search interface powered by artificial intelligence, designed for enterprise users to pose questions in natural language and receive accurate, referenced answers from over 160 types of repositories and more than 2,000 file formats within minutes. This tool utilizes AI and natural language processing to derive insights from both structured and unstructured data sources, including emails, Teams conversations, SharePoint documents, Azure Rights Management-protected files, images, and various rich media, all through a conversational interface that allows for real-time analysis. Users have the flexibility to tailor aspects ranging from clicks to chat workflows, enable interactive chat-based searches, and utilize integrated features such as optical character recognition, object detection, and image classification to reveal insights hidden within a wide array of content. Furthermore, administrators gain an advantage with a GUI-driven management of connectors, role-based access controls, single sign-on capabilities, and compliance checks for personally identifiable information, which together facilitate secure and permission-based discovery processes. This comprehensive approach not only enhances user experience but also streamlines the management of enterprise data, making it a vital tool for organizations seeking to leverage their information assets effectively.

Knowz AI offers a comprehensive enterprise solution that provides immediate answers to queries, streamlines workflows, and safeguards company knowledge across all business applications. Designed with security in mind, it adheres to compliance and governance standards, boasting certifications such as SOC 2, ISO 27001, HIPAA, and GDPR, and can be utilized in on-premise, private, or GovCloud settings. Its AI Search feature is tailored to match your organization's specific language, seamlessly integrates with platforms like Google Drive, SharePoint, Salesforce, SAP, Workday, Slack, Zoom, and more than 1,000 additional systems, and automates the classification, approval, and distribution of documents, eliminating the need for manual intervention. The Workflow Automation capability enables AI-powered approvals for HR, legal, and IT functions, generates reports and compliance documents automatically, and initiates company-wide actions, such as updating Salesforce or approving policies directly through the platform. Additionally, the integrated Genius Mode provides real-time fact-checking, complex multi-step reasoning capabilities, AI voice coaching during meetings, and insights that can be accessed as needed. This multifaceted approach empowers businesses to enhance efficiency and decision-making within their operations.

Zive serves as a comprehensive knowledge and AI platform designed to seamlessly connect, organize, and sustain the collective knowledge within your organization, thereby enhancing workplace efficiency and enjoyment for all employees. It empowers team members to conduct thorough searches and access a wealth of information through a cohesive intelligent search functionality. By automatically structuring your company's data, Zive allows users to delve into your organization's knowledge graph and its interconnections, also accessible via API. This innovative platform harnesses the full capabilities of AI, leading to significant time savings and an increase in employee productivity by up to 40%, while also fostering greater engagement at work. With Zive's cutting-edge AI-driven approach to knowledge management, team members can transition smoothly from inquiry to action. As a ready-to-use software solution, Zive integrates advanced AI features into your organization within a matter of days, eliminating the need for complex implementations, additional professional services, or extensive training. Our dedicated customer success team is committed to guiding you through every step, from initial platform setup to a successful internal launch, ensuring a smooth transition and optimal utilization of the system. This support structure is designed to help you maximize the benefits of Zive for your entire organization.

Store data in its native format for graph, document, and search purposes. Leverage a comprehensive query language that allows for rich access to this data. Map the data directly to the database and interact with it through optimal methods tailored for specific tasks, such as traversals, joins, searches, rankings, geospatial queries, and aggregations. Experience the benefits of polyglot persistence without incurring additional costs. Design, scale, and modify your architectures with ease to accommodate evolving requirements, all while minimizing effort. Merge the adaptability of JSON with advanced semantic search and graph technologies, enabling the extraction of features even from extensive datasets, thereby enhancing data analysis capabilities. This combination opens up new possibilities for handling complex data scenarios efficiently.

Site Search 360 is an intelligent, ad-free search engine for your website. You can quickly get your search up-and-running with a simple drag and drop integration. Your visitors will find exactly what they need right away. Site Search 360 features include: Visual configuration is quick and simple Search suggestions and autocomplete Search results for Facet-organized Semantic Search: Built-in Dictionary in 19 Languages + the ability to add custom synonyms Analytics to help you get more out of your search: What are your visitors looking for? What results do they click on? What queries don't bring any results? Full control over search results: boost, reorder, redirect Integration with Google Analytics & Google Tag Manager Import of Google Custom Search Promotions Amazing support: Live chat, email, and phone

Integrate semantic relevance alongside user feedback to effectively extract the best document segments in your retrieval-augmented generation framework. Additionally, merge semantic relevance with document recency in your search engine, as newer content is often more precise. Create a dynamic, personalized e-commerce product feed that utilizes user vectors derived from SKU embeddings that the user has engaged with. Analyze and identify behavioral clusters among your customers through a vector index housed in your data warehouse. Methodically outline and load your data, utilize spaces to build your indices, and execute queries—all within the confines of a Python notebook, ensuring that the entire process remains in-memory for efficiency and speed. This approach not only optimizes data retrieval but also enhances the overall user experience through tailored recommendations.

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.

txtai is a comprehensive open-source embeddings database that facilitates semantic search, orchestrates large language models, and streamlines language model workflows. It integrates sparse and dense vector indexes, graph networks, and relational databases, creating a solid infrastructure for vector search while serving as a valuable knowledge base for applications involving LLMs. Users can leverage txtai to design autonomous agents, execute retrieval-augmented generation strategies, and create multi-modal workflows. Among its standout features are support for vector search via SQL, integration with object storage, capabilities for topic modeling, graph analysis, and the ability to index multiple modalities. It enables the generation of embeddings from a diverse range of data types including text, documents, audio, images, and video. Furthermore, txtai provides pipelines driven by language models to manage various tasks like LLM prompting, question-answering, labeling, transcription, translation, and summarization, thereby enhancing the efficiency of these processes. This innovative platform not only simplifies complex workflows but also empowers developers to harness the full potential of AI technologies.