build-and-query-rag-corpus
Make a folder of the operator's own documents (txt/md/pdf/xlsx/pptx/docx) searchable by meaning via a user-named sqlite vector store. Covers installing the rag plugin, embedding-provider setup, the exact rag_ingest/rag_query pipeline calls, and corpus internals -- via bundled references. Read this before running the builtin rag_ingest / rag_query pipelines, or when the operator asks you to search a folder/file of their own documents.
Pinned to revision cfa62f0fe349, so it is the text this page describes rather than whatever the author pushed since.
Files
- skills/build-and-query-rag-corpus/SKILL.md
- skills/build-and-query-rag-corpus/references/configure-embedding-provider.md
- skills/build-and-query-rag-corpus/references/configure-local-embedding-model.md
- skills/build-and-query-rag-corpus/references/corpus-internals-schema-tuning-and-backend-swap.md
- skills/build-and-query-rag-corpus/references/install-and-venv-setup.md
- skills/build-and-query-rag-corpus/references/run-ingest-and-query-workflow.md
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