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LangChain

Bring semantic search to your app by using Meilisearch as a LangChain vector store.

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Read the docs

Details

Overview

Connect LangChain to Meilisearch to deliver semantic search out of the box. Generate embeddings with your model of choice, store them as vectors in Meilisearch, and query everything through LangChain for fast, relevant, and easy-to-orchestrate similarity search.

Vector search for LangChain

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

Try Meilisearch Cloud
Read the docs

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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.

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      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

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      Filters

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

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      Ironclad security

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

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      Open-source

      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.

Read guide

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Back to integrations

Langchain

Langchain exceprt

Details

Overview

Connect LangChain to Meilisearch to deliver semantic search out of the box. Generate embeddings with your model of choice, store them as vectors in Meilisearch, and query everything through LangChain for fast, relevant, and easy-to-orchestrate similarity search.