Sift Description
Sift is an easy-to-use, lightweight filtering system that allows real-time content filtering on websites without complex coding. It allows users to combine criteria and use multiple filters for precise results. Sift provides sorting options such as alphabetical and date sorting, along customizable batch loading and dynamic pagination. The system uses CSS animations to provide smooth visual transitions. It also displays item counts in total and filtered results. Users can reset filters with just one click and the system will automatically handle "no results". Sift is compatible with any website builder which supports custom attributes. It requires minimal setup. Add custom attributes to HTML element and initialize using a single script. Sift is ideal for blogs, portfolios and content libraries. It enhances user experience by making the content easily accessible and navigable.
Sift Alternatives
AddSearch
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
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Guru
Guru transforms how teams access and trust information.
As an AI knowledge platform, Guru unifies company data across chats, documents, and applications, giving people and AI assistants reliable, cited answers right where they work.
It connects to systems like Slack, Teams, Salesforce, and Google Workspace to surface verified insights without constant searching.
With automatic verification, source visibility, and permission-aware access, Guru keeps information accurate and ensures your organization operates from one dependable source of truth.
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Qdrant
Qdrant serves as a sophisticated vector similarity engine and database, functioning as an API service that enables the search for the closest high-dimensional vectors. By utilizing Qdrant, users can transform embeddings or neural network encoders into comprehensive applications designed for matching, searching, recommending, and far more. It also offers an OpenAPI v3 specification, which facilitates the generation of client libraries in virtually any programming language, along with pre-built clients for Python and other languages that come with enhanced features. One of its standout features is a distinct custom adaptation of the HNSW algorithm used for Approximate Nearest Neighbor Search, which allows for lightning-fast searches while enabling the application of search filters without diminishing the quality of the results. Furthermore, Qdrant supports additional payload data tied to vectors, enabling not only the storage of this payload but also the ability to filter search outcomes based on the values contained within that payload. This capability enhances the overall versatility of search operations, making it an invaluable tool for developers and data scientists alike.
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Amazon Kendra
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.
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Pricing
Pricing Starts At:
$0
Integrations
No Integrations at this time
Company Details
Company:
Sift
Year Founded:
2024
Headquarters:
Brazil
Website:
siftcms.site
Media
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Customer Support
Online Support
Sift Features and Options
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