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Vector search for LangChain

Add semantic search to your applications by integrating Meilisearch as a LangChain vector store

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Integrated search solution

All you need to power a variety of search experiences

  • Product recommendations illustration

    Product recommendations

    Find and suggest similar items to help connect a buyer with a product.

  • Intuitive Q&A bots illustration

    Intuitive Q&A bots

    Plow through documentation and Q&A articles to find answers based on true intent.

  • Contextual search illustration

    Contextual search

    Improve relevancy and accuracy through deep understanding of query's meaning

  • Filters illustration


    Enhance your user's search experience with custom filters and build a faceted search interface in a few lines of code.

  • Ironclad security illustration

    Ironclad security

    Sealed, signed, delivered. API keys and tenant tokens help you specify who can search what.

  • Open-source illustration


    Benefit from all the community learning materials, resources, and support.

Get started with LangChain

Check out our resources to help you integrate search into your LangChain applications.

LangChain guide

Master semantic search with this step-by-step guide to integrating Meilisearch and LangChain. Learn how to use OpenAI's text embeddings to build an application to perform similarity searches across a movie dataset.

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