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Search local knowledge packs and retrieve chunks for stronger AI answers.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "local-rag-core" yet — see the docs or source repo.
Search the local knowledge library for documentation related to "authentication failure troubleshooting" and return the 5 most relevant results with their sources.
A list of relevant documentation packs or chunks with titles, relevance, and source details.
Retrieve the document chunks most relevant to "API rate limiting rules" from the local docs and turn them into a reference summary for answering user questions.
Key document chunks and a concise summary for producing accurate downstream answers.
List all documentation packs currently available in the local knowledge library and group them with brief topic labels.
A catalog of documentation packs with topic groupings to show what can be searched.
Set up a local RAG server for private knowledge search and QA.
Search code and technical docs privately with local-first RAG for developers.
Search and retrieve local documents semantically for faster AI-powered knowledge access.
Store and retrieve text semantically with local vector memory for conversations.
Connect local RAG knowledge retrieval to code editors through MCP.
Search local Markdown files and return full document contents for use.