1.7 KiB
1.7 KiB
Test Plan: RAG
Behaviors to test
- Rag::init creates new RAG with embedding model (requires LLM client)
- Rag::load loads existing RAG from disk (requires filesystem)
- Rag::create builds vector store from documents (requires embedding model)
- Rag::refresh_document_paths updates document list (requires filesystem)
- RAG search returns relevant embeddings (requires embedding model)
- RAG template contains required placeholders
- Reranker model applied when configured (requires LLM client)
- top_k controls number of results (requires embedding model)
- RAG sources tracked for .sources command (requires full Rag struct)
- exit_rag clears RAG from context (tested in iteration 8)
Additional behaviors tested
- DocumentId: new/split round-trip, zero/zero, large values
- DocumentId: Debug format ("file-doc"), equality, inequality, ordering
- RagDocument: new with content, default empty
- RagData: new sets all defaults, empty collections
- RagData::get: returns document, None for missing file, None for missing doc index
- RagData::del: removes files + associated vectors, noop for nonexistent
- RagData::add: inserts files, vectors, updates next_file_id
- RagData::build_bm25: empty data returns no results
- RagData::build_bm25: finds documents by keyword (BM25 ranking)
- RAG_TEMPLATE: contains CONTEXT, SOURCES, INPUT
- get_separators: Rust/Python/Markdown return language-specific
- get_separators: unknown extension returns defaults
- get_separators: all 22 known extensions have language-specific separators
Old code reference
src/rag/mod.rs— Rag struct and methodssrc/config/request_context.rs— use_rag, edit_rag_docs, rebuild_rag