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  1. chroma-core/chroma: the AI-native open-source embedding …

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    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.
    It can be used in Python or JavaScript with the chromadb library for local use, or connected to a remote server running Chroma. Users can configure Chroma to persist data on disk and create collections of embeddings using unique names. The client object provides methods like `heartbeat ()` and `reset ()`.
    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 local use, or connected to a remote server running Chroma. Users can configure Chroma to persist data on disk and create collections of embeddings using unique names.
    Chroma API Tutorial: Code notebook demonstrating protein I/O, sampling, and design configuration directly in python. Chroma Conditioner API Tutorial: A deeper dive under the hood for implementing new Chroma Conditioners. PyPi package .You can install the latest release of Chroma with: Install latest Chroma from github
  3. chromadb · PyPI

  4. Getting Started with Chroma DB: A Beginner’s Tutorial

  5. Learn How to Use Chroma DB: A Step-by-Step Guide - DataCamp

  6. GitHub - neo-con/chromadb-tutorial: This repo is a beginner's …

  7. GitHub - generatebio/chroma: A generative model for …