Chroma (vector database)
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| Chroma | |
|---|---|
| Developer(s) | Chroma |
| Initial release | October 22, 2022 |
| Stable release | v1.0.12 / May 30, 2025.:[1] |
| Repository | github |
| Written in | Rust, Python, TypeScript, Go |
| Operating system | Linux, macOS, Windows |
| Platform | x86 |
| Type | Vector database |
| License | Apache License 2.0 |
| Website | trychroma |
Chroma or ChromaDB is an open-source vector database tailored to applications with large language models.[2]
Its headquarters are in San Francisco. In April 2023, it raised 18 million US dollars as seed funding.[3]
ChromaDB has been used in academic studies on artificial intelligence, particularly as part of the tech stack for retrieval-augmented generation.[4][5]
References
[edit]- ^ "Release notes for Chroma v1.0.12". GitHub.
- ^ MSV, Janakiram (July 28, 2023). "Exploring Chroma: The Open Source Vector Database for LLMs". The New Stack. Retrieved July 31, 2024.
- ^ "Chroma funding: Database provider raises $18M for AI-Powered Database". SiliconANGLE. April 6, 2023. Retrieved July 31, 2024.
- ^ Toro, Sabrina; Anagnostopoulos, Anna V.; Bello, Sue; Blumberg, Kai; Cameron, Rhiannon; Carmody, Leigh; Diehl, Alexander D.; Dooley, Damion; Duncan, William (June 12, 2024), "Dynamic Retrieval Augmented Generation of Ontologies using Artificial Intelligence (DRAGON-AI)", Journal of Biomedical Semantics, 15 (1): 19, arXiv:2312.10904, doi:10.1186/s13326-024-00320-3, PMC 11484368, PMID 39415214
- ^ Caspari, Laura; Dastidar, Kanishka Ghosh; Zerhoudi, Saber; Mitrovic, Jelena; Granitzer, Michael (July 11, 2024), Beyond Benchmarks: Evaluating Embedding Model Similarity for Retrieval Augmented Generation Systems, arXiv:2407.08275
External links
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