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Chroma is an open-source vector database. Pick up an issue, create a PR, or participate in our Discord and let the community know what features you would like.
Chroma is an AI-native open-source vector database. It comes with everything you need to get started built in, and runs on your machine. A hosted version is coming soon!
Chroma is the AI-native open-source vector database. Chroma makes it easy to build LLM apps by making knowledge, facts, and skills pluggable for LLMs. New to Chroma? 🔑 Getting Started. Chroma gives you the tools to: store embeddings and their metadata. embed documents and queries. search embeddings. Chroma prioritizes:
In this tutorial, we will learn about vector stores and Chroma DB, an open-source database for storing and managing embeddings. Moreover, we will learn how to add and remove documents, perform similarity searches, and convert our text into embeddings.
Mar 16, 2024 · What is Chroma DB? Chroma DB is a vector database system that allows you to store, retrieve, and manage embeddings. It can be used in Python or JavaScript with the chromadb library for...
Features. Simple: Fully-typed, fully-tested, fully-documented == happiness. Integrations: 🦜️🔗 LangChain (python and js), 🦙 LlamaIndex and more soon. Dev, Test, Prod: the same API that runs in your python notebook, scales to your cluster. Feature-rich: Queries, filtering, density estimation and more. Free & Open Source: Apache 2.0 Licensed.
If you are running Chroma in client-server mode, you may not need the full Chroma library. Instead, you can use the lightweight client-only library. In this case, you can install the chromadb-client package.
Jun 18, 2024 · Features. Simple: Fully-typed, fully-tested, fully-documented == happiness. Integrations: 🦜️🔗 LangChain (python and js), 🦙 LlamaIndex and more soon. Dev, Test, Prod: the same API that runs in your python notebook, scales to your cluster. Feature-rich: Queries, filtering, density estimation and more. Free & Open Source: Apache 2.0 Licensed.
Nov 15, 2023 · Get Started With ChromaDB, an Open-Source Vector Database. What Is a Vector Database? Meet ChromaDB for LLM Applications. Practical Example: Add Context for a Large Language Model (LLM) Prepare and Inspect Your Dataset. Create a Collection and Add Reviews. Connect to an LLM Service. Provide Context to the LLM. Conclusion. Remove ads.
Jul 19, 2023 · Chroma is now easier to install and run than ever before - we’ve eliminated DuckDB and ClickHouse as system dependencies and unified the document storage by using SQLite across both local and client/server deployments. SQLite delivers great performance for our use case and also provides a robust set of full text search functionality.
