Compare the Top Site Search Tools that integrate with Langflow as of July 2025

This a list of Site Search tools that integrate with Langflow. Use the filters on the left to add additional filters for products that have integrations with Langflow. View the products that work with Langflow in the table below.

What are Site Search Tools for Langflow?

Site search tools are software solutions that enhance the search experience on websites by enabling users to quickly locate relevant content. These tools index website data, including text, images, and other media, and then provide a search interface that allows users to find specific information using keywords or filters. Features of site search tools often include autocomplete, spell correction, advanced filtering, and ranking algorithms that prioritize the most relevant results. By implementing these tools, websites can improve navigation, increase user satisfaction, and drive engagement by helping visitors find what they need more efficiently. Compare and read user reviews of the best Site Search tools for Langflow currently available using the table below. This list is updated regularly.

  • 1
    Vectara

    Vectara

    Vectara

    Vectara is LLM-powered search-as-a-service. The platform provides a complete ML search pipeline from extraction and indexing to retrieval, re-ranking and calibration. Every element of the platform is API-addressable. Developers can embed the most advanced NLP models for app and site search in minutes. Vectara automatically extracts text from PDF and Office to JSON, HTML, XML, CommonMark, and many more. Encode at scale with cutting edge zero-shot models using deep neural networks optimized for language understanding. Segment data into any number of indexes storing vector encodings optimized for low latency and high recall. Recall candidate results from millions of documents using cutting-edge, zero-shot neural network models. Increase the precision of retrieved results with cross-attentional neural networks to merge and reorder results. Zero in on the true likelihoods that the retrieved response represents a probable answer to the query.
    Starting Price: Free
  • 2
    Qdrant

    Qdrant

    Qdrant

    Qdrant is a vector similarity engine & vector database. It deploys as an API service providing search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more! Provides the OpenAPI v3 specification to generate a client library in almost any programming language. Alternatively utilise ready-made client for Python or other programming languages with additional functionality. Implement a unique custom modification of the HNSW algorithm for Approximate Nearest Neighbor Search. Search with a State-of-the-Art speed and apply search filters without compromising on results. Support additional payload associated with vectors. Not only stores payload but also allows filter results based on payload values.
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