Update the name or metadata of a Chroma collection to maintain accurate and relevant data organization for efficient retrieval and management within the Chroma MCP Server.
Find semantically similar documents in the Chroma vector database by querying text, filtering by metadata, and specifying result count for precise search outcomes.
Visualize concepts and connections by creating Obsidian canvas files with nodes and edges. Integrates with Basic Memory for persistent semantic graph management and Markdown-based knowledge storage.
Retrieve a specific document from the Chroma vector database using its unique ID, enabling efficient document access and management for semantic search and metadata filtering.
A server that provides data retrieval capabilities powered by Chroma embedding database, enabling AI models to create collections over generated data and user inputs, and retrieve that data using vector search, full text search, and metadata filtering.
A Model Context Protocol server providing vector database capabilities through Chroma, enabling semantic document search, metadata filtering, and document management with persistent storage.
Stores AI memories as Markdown files for visualization in Obsidian's graph view, allowing users to create knowledge graphs with entities, relations, and observations.