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Rag Context
Enables AI assistants to store and retrieve contextual information efficiently using local vector storage and database.
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Rag Context is a lightweight Model Context Protocol (MCP) server providing persistent memory and context management. It leverages local vector storage and a SQLite database, enabling AI assistants to store and retrieve contextual information efficiently through semantic search and indexed retrieval. This privacy-focused solution stores all data locally and requires minimal dependencies.
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Data Science & ML
