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Chroma is a AI-native open-source vector database focused on developer productivity and happiness. Chroma is licensed under Apache 2.0. View the full docs of Chroma at this page, and find the API reference for the LangChain integration at this page. Setup.
Chroma is a AI-native open-source vector database focused on developer productivity and happiness. Chroma is licensed under Apache 2.0. Install Chroma with: pip install langchain-chroma. Chroma runs in various modes. See below for examples of each integrated with LangChain. in-memory - in a python script or jupyter notebook.
Apr 28, 2024 · Understanding RAG and LangChain. This approach combines retrieval-based methods with generative models to produce responses that are not only coherent but also contextually relevant.
Mar 8, 2024 · DocBot (Document Bot) is an LLM powered intelligent document query assistant designed to revolutionize the way you interact with your documents. Gone are the days of tediously scrolling through...
Chroma and LangChain tutorial - The demo showcases how to pull data from the English Wikipedia using their API. The project also demonstrates how to vectorize data in chunks and get embeddings using OpenAI embeddings model.
Jan 13, 2024 · ChromaDB in Java (langchain4j 🦜) | by Tim J | Medium. Tim J. ·. Follow. 3 min read. ·. Jan 13, 2024. -- In this article, we’ll look at how to integrate the ChromaDB embedding database into a...
Complete LangChain Guide: Covers all key concepts, including chains, agents, and document loaders. Python Code Examples: Practical and easy-to-follow code snippets for each topic. Chroma DB & Pinecone: Learn how to integrate Chroma DB and Pinecone with OpenAI embeddings for powerful data management.
Chroma is a AI-native open-source vector database focused on developer productivity and happiness. Chroma is licensed under Apache 2.0. This guide provides a quick overview for getting started with Chroma vector stores. For detailed documentation of all Chroma features and configurations head to the API reference.
Feb 13, 2023 · Specifically, LangChain provides a framework to easily prototype LLM applications locally, and Chroma provides a vector store and embedding database that can run seamlessly during local development to power these applications. Today, we are announcing Chroma’s integration with LangChain.
Apr 29, 2024 · Follow the detailed steps outlined in the "How to Integrate Langchain with Chroma" section of this article, complete with sample code for each step. What are the benefits of using Langchain with Chroma? By integrating Langchain with Chroma, you can build NLP applications that are faster, more scalable, and more robust.
