Delegate RAG and query enrichment to vtk-mcp#33
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Replaces local RAG infrastructure (ChromaDB, llama_index, sentence_transformers, tree_sitter, rag-components submodule, data/examples, db/) with vtk-mcp as the single source of VTK knowledge, context retrieval, and code validation. When --mcp-url is set: - Context is always fetched via hybrid vector search (vector_search_examples + vector_search_docs) and class hints (vtk_get_class_info, vtk_get_class_action_phrase) - The LLM has access to all vtk-mcp tools during generation (agentic tool loop) - Generated code is validated with validate_vtk_code; diagnostics trigger a retry Changes: - vtk_mcp_client.py: new HTTP JSON-RPC client wrapping vtk-mcp tools - client.py: removed ChromaDB paths; rag param removed; mcp_url drives everything - cli.py: --rag/--collection/--database replaced by --mcp-url - UI: RAG checkbox removed; Top K active when vtk-mcp URL is set - provider_utils.py: updated model lists (Anthropic claude-4.x, OpenAI gpt-4.1, NIM llama-3.3); default changed to anthropic/claude-sonnet-4-6 - pyproject.toml: removed all RAG deps; bumped vtk>=9.6.1 - CI: uv-vtk-mcp-smoke job installs vtk-mcp + GitHub deps via uv - Deleted: rag_chat_wrapper.py, build_rag_db.py, test_rag.py, rag-components/, data/, db/
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Replaces local RAG infrastructure (ChromaDB, llama_index, rag-components) with vtk-mcp as the single source of VTK knowledge.
What changed
vtk_mcp_client.py: new HTTP JSON-RPC client — hybrid vector search (vector_search_examples+vector_search_docs), class hints, and full code validation viavalidate_vtk_codeclient.py: context retrieval and validation always active whenmcp_urlis set; LLM has access to all vtk-mcp tools during generation;validate_vtk_codediagnostics fed back for retrycli.py:--rag/--collection/--databasereplaced by--mcp-urlanthropic/claude-sonnet-4-6uv-vtk-mcp-smokejob installs vtk-mcp and its GitHub-hosted deps via uvrag_chat_wrapper.py,build_rag_db.py,test_rag.py,rag-components/,data/,db/Usage