Retrieval-Augmented Generation with Qdrant and Ollama

Snider bf047e4494 feat: extract go-rag from go-ai as standalone RAG package ... Vector search with Qdrant + Ollama embeddings, document chunking. Zero internal go-ai dependencies. Adds CLAUDE.md/TODO.md/FINDINGS.md. Co-Authored-By: Virgil <virgil@lethean.io>		2026-02-19 18:29:59 +00:00
chunk.go	feat: extract go-rag from go-ai as standalone RAG package	2026-02-19 18:29:59 +00:00
chunk_test.go	feat: extract go-rag from go-ai as standalone RAG package	2026-02-19 18:29:59 +00:00
CLAUDE.md	feat: extract go-rag from go-ai as standalone RAG package	2026-02-19 18:29:59 +00:00
FINDINGS.md	feat: extract go-rag from go-ai as standalone RAG package	2026-02-19 18:29:59 +00:00
go.mod	feat: extract go-rag from go-ai as standalone RAG package	2026-02-19 18:29:59 +00:00
helpers.go	feat: extract go-rag from go-ai as standalone RAG package	2026-02-19 18:29:59 +00:00
ingest.go	feat: extract go-rag from go-ai as standalone RAG package	2026-02-19 18:29:59 +00:00
ollama.go	feat: extract go-rag from go-ai as standalone RAG package	2026-02-19 18:29:59 +00:00
qdrant.go	feat: extract go-rag from go-ai as standalone RAG package	2026-02-19 18:29:59 +00:00
query.go	feat: extract go-rag from go-ai as standalone RAG package	2026-02-19 18:29:59 +00:00
TODO.md	feat: extract go-rag from go-ai as standalone RAG package	2026-02-19 18:29:59 +00:00