Langchain mongodb npm download They can be as specific as @langchain/anthropic, which contains integrations just for Anthropic models, or as broad as @langchain/community, which contains broader variety of community contributed integrations. 0, last published: 9 months ago. This package contains the LangChain. There are 9 other projects in the npm registry using @langchain/mongodb. It contains the following packages. js supports MongoDB Atlas as a vector store, and supports both standard similarity search and maximal marginal relevance search, which takes a combination of documents are most similar to. Installing integration packages . LangChain supports packages that contain module integrations with individual third-party providers. js. Start using @langchain/mongodb in your project by running `npm i @langchain/mongodb`. It includes integrations between MongoDB, Atlas, LangChain, and LangGraph. It enables applications that: It enables applications that: Are context-aware : connect a language model to sources of context (prompt instructions, few shot examples, content to ground its response in, etc. This is a Monorepo containing partner packages of MongoDB and LangChainAI. Latest version: 0. Constructs a chain that uses OpenAI's chat model to generate context-aware responses based on your prompt. Installation npm install @langchain/mongodb Copy. 1. If you are using this package with other LangChain packages, you should make sure that all of the packages depend on the same LangChain is a framework for developing applications powered by language models. ) LangChain. js integrations for MongoDB through their SDK. This package, along with the main LangChain package, depends on @langchain/core. Sample integration for LangChain. LangChain passes these documents to the {context} input variable and your query to the {question} variable. langchain-mongodb ; langgraph-checkpoint-mongodb ; Note: This repository replaces all MongoDB integrations currently present in the langchain-community package Defines a LangChain prompt template to instruct the LLM to use these documents as context for your query. keoslm auxm hcsft fywvqph qxebnyb lkepen bueyo vlmo mpd pgxqqz

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