Snider b9f44cd03a feat(rag): add Go RAG implementation with Qdrant + Ollama ... Add RAG (Retrieval Augmented Generation) tools for storing documentation in Qdrant vector database and querying with semantic search. This replaces the Python tools/rag implementation with a native Go solution. New commands: - core rag ingest [directory] - Ingest markdown files into Qdrant - core rag query [question] - Query vector database with semantic search - core rag collections - List and manage Qdrant collections Features: - Markdown chunking by sections and paragraphs with overlap - UTF-8 safe text handling for international content - Automatic category detection from file paths - Multiple output formats: text, JSON, LLM context injection - Environment variable support for host configuration Dependencies: - github.com/qdrant/go-client (gRPC client) - github.com/ollama/ollama/api (embeddings API) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>		2026-02-03 07:42:07 +00:00
..
cmd_collections.go	feat(rag): add Go RAG implementation with Qdrant + Ollama	2026-02-03 07:42:07 +00:00
cmd_commands.go	feat(rag): add Go RAG implementation with Qdrant + Ollama	2026-02-03 07:42:07 +00:00
cmd_ingest.go	feat(rag): add Go RAG implementation with Qdrant + Ollama	2026-02-03 07:42:07 +00:00
cmd_query.go	feat(rag): add Go RAG implementation with Qdrant + Ollama	2026-02-03 07:42:07 +00:00
cmd_rag.go	feat(rag): add Go RAG implementation with Qdrant + Ollama	2026-02-03 07:42:07 +00:00