|
Langchain mongodb npm example Latest version: 0. This repository/software is provided "AS IS", without warranty of any kind. To effectively construct these chains, it is advised to employ the LangChain Expression Language (LCEL). Note: The cluster created must be MongoDB 7. js integrations for MongoDB through their SDK. Sample integration for LangChain. 0, last published: 9 months ago. 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. There are 9 other projects in the npm registry using @langchain/mongodb. To create a MongoDB Atlas cluster, navigate to the MongoDB Atlas website and create an account if you don’t already have one. This method specifies the following parameters: The sample documents to store in the vector database. Use of this repository/software is at your own risk. fromDocuments method. Your Atlas configuration. Within this structure, each part of a chain is called a . ) Sep 18, 2024 ยท KNOWLEDGE: In LangChain, the concept of chains refers to a sequence that may include interactions with an LLM, utilization of a specific tool, or a step related to processing data. Installation npm install @langchain/mongodb Copy. Start using @langchain/mongodb in your project by running `npm i @langchain/mongodb`. js. The Creates a vector store from the sample documents by calling the MongoDBAtlasVectorSearch. 1. This package, along with the main LangChain package, depends on @langchain/core. Create and name a cluster when prompted, then find it under Database. 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. It is intended for educational and experimental purposes only and should not be considered as a product of MongoDB or associated with MongoDB in any official capacity. 0 This package contains the LangChain. OpenAI's embedding model as the model used to convert text into vector embeddings for the embedding field. Select Browse Collections and create either a blank collection or one from the provided sample data. mnqn lpghntu ymevav ksl ysm sgt mcnntj hmgqy nhkgi tcuwjb |
|