Project Title

chroma — Open-source Embedding Database for AI Applications

Overview

Chroma is an open-source search and retrieval database designed for AI applications, offering a fast and efficient way to build Python or JavaScript LLM apps with memory. It provides a simple, feature-rich API for managing and querying embeddings, making it easier to integrate with various AI models and applications.

Key Features

Simple API: Fully-typed, fully-tested, and fully-documented for developer happiness.
Integrations: Supports integrations with tools like LangChain and LlamaIndex.
Dev, Test, Prod: Consistent API across development, testing, and production environments.
Feature-rich: Supports queries, filtering, regex, and more.

Use Cases

ChatGPT for Data: Add documents to a database, query relevant documents with natural language, and compose documents into the context window of an LLM for summarization or analysis.
Document Retrieval: Use Chroma to embed and retrieve documents based on their content, making it easier to find similar documents.
AI Application Development: Build AI applications that require efficient search and retrieval of embedded data.

Advantages

Apache 2.0 Licensed: Free and open-source, allowing for flexible use and modification.
Scalable: Can scale from a Python notebook to a cluster, making it suitable for various application sizes.
Efficient: Optimized for fast search and retrieval, which is crucial for AI applications.

Limitations / Considerations

Learning Curve: Developers new to embedding databases may need to invest time in understanding the concept and API.
Rust Language: While Rust offers performance benefits, it may not be as widely known as other languages, potentially affecting developer adoption.

Faiss: A library for efficient similarity search and clustering of dense vectors, differing in that it is not specifically designed for AI applications and does not offer the same level of integration with AI models.
Annoy: A library for approximate nearest neighbors, which is simpler but may not offer the same feature set as Chroma.
Milvus: An open-source vector database built to manage and search massive amounts of vectors, differing in its focus on scalability and performance for large-scale applications.

Basic Information

GitHub: https://github.com/chroma-core/chroma
Stars: 23,098
License: Apache 2.0
Last Commit: 2025-09-06

📊 Project Information

Project Name: chroma
GitHub URL: https://github.com/chroma-core/chroma
Programming Language: Rust
⭐ Stars: 23,098
🍴 Forks: 1,808
📅 Created: 2022-10-05
🔄 Last Updated: 2025-09-06

🏷️ Project Topics

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📚 Documentation

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chroma

Project Description