chroma and chromadb-tutorial
Chroma is the core database system while the tutorial repository is educational documentation that teaches users how to use that same database system, making them complements in a learning progression rather than competitors or siblings.
About chroma
chroma-core/chroma
Open-source search and retrieval database for AI applications.
This tool helps developers working with AI applications store, manage, and search large volumes of text and other data. You input documents, and it automatically processes them for efficient retrieval. The output is highly relevant search results for your AI models, making it easier to build applications like chatbots or intelligent search engines.
About chromadb-tutorial
neo-con/chromadb-tutorial
This repo is a beginner's guide to using Chroma. It covers all the major features including adding data, querying collections, updating and deleting data, and using different embedding functions. Each topic has its own dedicated folder with a detailed README and corresponding Python scripts for a practical understanding.
This is a beginner's guide for developers learning to use the ChromaDB Python client. It helps you understand how to store, query, update, and delete collections of embeddings. You'll go from raw text or existing embeddings to a managed database, learning to leverage various embedding functions. This guide is for Python developers integrating vector search capabilities into their applications.
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