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Let AI securely search private local documents with semantic and keyword retrieval.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "local-Rag" yet — see the docs or source repo.
Search my local knowledge base for documents related to "authentication flow" and "JWT refresh mechanism," then summarize the key implementation steps and referenced files.
Returns relevant document snippets, why they matched, and a brief summary of the auth flow and implementation files.
Find content related to "annual budget" and "procurement plan" across local PDF, DOCX, and Markdown files, then compile a concise summary.
Outputs a cross-document summary of key information with source document references.
Search local documents for "API error code guidelines" and "log field definitions," and extract the rules relevant to my current backend work.
Provides relevant guideline excerpts, matched document locations, and a concise rule list usable during coding.
Search code and technical docs privately with local-first RAG for developers.
Let AI securely query private local documents with persistent memory.
Set up a local RAG server for private knowledge search and QA.
Connect local code and docs for fast AI vector-based retrieval.
Search local Word and PDF files to answer document-based questions.
Search local knowledge packs and retrieve chunks for stronger AI answers.