chroma

Open-source search and retrieval database for AI applications.

25.9k
Stars
+1.6k
Gained
6.5%
Growth
Rust
Language

💡 Why It Matters

Chroma addresses the need for efficient search and retrieval in AI applications, enabling engineers to manage and access data seamlessly. Backend/API teams and ML/AI teams will find it particularly beneficial, as it supports embedding and document retrieval tasks essential for AI-driven projects. With over 25,000 stars on GitHub, Chroma demonstrates a strong community backing, indicating it is a production-ready solution with a mature codebase. However, it may not be the right choice for teams requiring highly specialised search capabilities or those working with non-AI-related datasets.

🎯 When to Use

Chroma is a strong choice when building AI applications that require fast and efficient document retrieval and embedding management. Teams should consider alternatives when their projects demand advanced search features not covered by Chroma or when they operate outside the AI domain.

👥 Team Fit & Use Cases

Chroma is ideal for backend/API teams and ML/AI teams who need a reliable open source tool for engineering teams focused on data retrieval. It is commonly integrated into AI-driven products and systems that require robust database management for document-based queries.

🎭 Best For

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🏷️ Topics & Ecosystem

ai database document-retrieval embeddings llm llms rag rust rust-lang vector-database

📊 Activity

Latest commit: 2026-02-03. Over the past 85 days, this repository gained 1.6k stars (+6.5% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.