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Connect AI to Chroma for collection creation and multi-mode data retrieval.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Chroma MCP Server" yet — see the docs or source repo.
Use the Chroma MCP Server to create a collection named product_docs, ingest these product documents, and run vector search for the user's question. Return the 5 most relevant results with metadata.
A created document collection plus ranked retrieval results with corresponding metadata.
Search Chroma for content related to "user retention" and return only results where metadata has department=marketing and year=2024.
A result list matching both the topic and metadata filters for precise analysis or Q&A.
Use the Chroma MCP Server to first run full-text search for documents containing "pricing update", then add semantically similar results, and output a deduplicated summary list.
A deduplicated summary of keyword and semantic matches, improving retrieval completeness and accuracy.
Connect AI assistants to ChromaDB for vector storage and semantic retrieval.
Index a knowledge base into Chroma and retrieve relevant document fragments.
Give LLMs persistent semantic memory and vector search for better context continuity.
Create a shared multilingual team memory with semantic search for MCP clients.
Ingest documents and query them with natural-language semantic search.
Search, retrieve, and answer questions from PDF documents with RAG.