{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/7"}],"enrichment":{"capability":"Integrates Chroma vector database with LlamaIndex for storing and retrieving embeddings in RAG and semantic search applications.","skillfed_tags":["rag","vector-database","embeddings"],"use_cases":["Build RAG pipelines with LlamaIndex that persist embeddings in Chroma for retrieval across sessions","Implement semantic search over document collections using LlamaIndex queries backed by Chroma storage","Integrate Chroma as a vector store option in LlamaIndex applications without writing custom adapter code","Store and query embeddings from multiple data sources in a unified vector database within LlamaIndex workflows"],"what_it_does":"This package provides a LlamaIndex integration layer for Chroma, a vector database designed for storing and querying embeddings. It acts as a bridge between LlamaIndex's retrieval-augmented generation (RAG) framework and Chroma's vector storage backend, allowing developers to persist embeddings and perform semantic similarity searches within LlamaIndex workflows.\n\nThe integration depends on chromadb for the actual vector storage operations and llama-index-core for the framework integration. It is positioned as a specialized connector rather than a standalone tool\u2014you install it when you've already chosen LlamaIndex as your RAG framework and Chroma as your vector store, and you need them to work together seamlessly.","worth_installing":"Yes, if you are already using LlamaIndex and have chosen Chroma as your vector store. The low install friction, permissive MIT license, and lack of known vulnerabilities make it a straightforward choice. The aging maintenance status warrants checking that your versions of chromadb and llama-index-core remain compatible, but the package itself carries no security risk."},"id":"llama-index-vector-stores-chroma","links":{"html":"https://skillfed.io/packages/llama-index-vector-stores-chroma","md":"https://skillfed.io/packages/llama-index-vector-stores-chroma.md","pypi":"https://pypi.org/project/llama-index-vector-stores-chroma/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2025-12-30","license_spdx":"MIT","license_treatment":"permissive","name":"llama-index-vector-stores-chroma","python_support":"supports_current","summary":"llama-index vector_stores chroma integration"},"popularity":{"monthly_downloads":252014,"position":8562,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.5.5"}