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Local LLM / Local RAG and private knowledge

Local LLM: Knowledge gap collection

Store unanswered question categories without retaining unnecessary sensitive text.

Compiled for Sorlavit Kim · Published · Updated · 1 min read

Environment and inputs: Private document retrieval with local embedding and generation endpoints; network and storage privacy require verification.

When to use it

A local generator does not by itself guarantee a private retrieval pipeline. Trace document extraction, embedding, indexing and answer generation as separate stages, retaining source locations and access metadata throughout the pipeline.

Check the result

Use the gap report to identify missing source documents and verify improvement after indexing.

Save and compare results

Save the test input, configuration and result. Fix the failing boundary, repeat the same test and compare it with the saved working configuration.

Scope and limits

These exercises have not been tested on your systems. Check feature support and configuration names against the installed release and linked documentation.

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