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.

chroma
81
Verified
chromadb-tutorial
34
Emerging
Maintenance 22/25
Adoption 15/25
Maturity 25/25
Community 19/25
Maintenance 0/25
Adoption 8/25
Maturity 8/25
Community 18/25
Stars: 26,607
Forks: 2,118
Downloads:
Commits (30d): 111
Language: Rust
License: Apache-2.0
Stars: 46
Forks: 13
Downloads:
Commits (30d): 0
Language: Python
License:
No risk flags
No License Stale 6m No Package No Dependents

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.

AI application development Machine learning engineering Information retrieval Generative AI Semantic search

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.

Python development vector databases embedding management AI application development information retrieval

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