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6c9a545a06
Wire the FlashRank reranker subsystem from #1005 into Document-RAG: after vector retrieval, over-fetch a wider candidate pool, rerank with the cross-encoder, and keep the top doc_limit chunks for synthesis. Per maintainer review, the fetch and select sizes are two caller-controlled limits rather than one internal heuristic: - doc_limit: chunks selected into the synthesis prompt (unchanged meaning). - fetch_limit: candidate pool pulled from the vector store before reranking. 0 = derive (OVERFETCH_FACTOR x doc_limit); values below doc_limit are raised to it. Lets the caller control how hard the reranker has to work. Details: - schema: DocumentRagQuery.fetch_limit (additive, backward compatible). - document_rag.py / rag.py: fetch_limit resolved in the processor (mirrors doc_limit); the core applies the heuristic default and derives synthesis provenance from the chunk-selection focus when reranking ran. - provenance: tg:ChunkSelection focus stage (mirrors tg:EdgeSelection). - request translator + client SDKs + CLI: fetch-limit / --fetch-limit, threaded exactly like doc_limit and the GraphRAG limits. - tests: no-op identity, over-fetch/narrow, explicit fetch_limit, heuristic default, floor-at-doc_limit, provenance lineage, cross-repo topic wiring. Reranking is skipped byte-identically when no reranker role is wired. Requires the companion trustgraph-templates change wiring the reranker topics into the document-rag flow (mirrors #279 for GraphRAG). |
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| .. | ||
| agent | ||
| bootstrap | ||
| chunking | ||
| config/service | ||
| cores | ||
| decoding | ||
| direct | ||
| embeddings | ||
| external | ||
| extract | ||
| flow | ||
| gateway | ||
| iam | ||
| librarian | ||
| metering | ||
| model | ||
| processing | ||
| prompt | ||
| query | ||
| reranker | ||
| retrieval | ||
| rev_gateway | ||
| storage | ||
| tables | ||
| template | ||
| tool_service | ||
| __init__.py | ||