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Embeddings API scores (#671)

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- Put scores in all responses
- Remove unused 'middle' vector layer. Vector of texts -> vector of (vector embedding)
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cybermaggedon 2026-03-09 10:53:44 +00:00 • committed by GitHub
parent 4fa7cc7d7c
commit f2ae0e8623
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65 changed files with 1339 additions and 1292 deletions
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trustgraph-base/trustgraph/base/document_embeddings_query_service.py
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@ -57,7 +57,7 @@ class DocumentEmbeddingsQueryService(FlowProcessor):
docs = await self.query_document_embeddings(request)
logger.debug("Sending document embeddings query response...")
r = DocumentEmbeddingsResponse(chunk_ids=docs, error=None)
r = DocumentEmbeddingsResponse(chunks=docs, error=None)
await flow("response").send(r, properties={"id": id})
logger.debug("Document embeddings query request completed")
@ -73,7 +73,7 @@ class DocumentEmbeddingsQueryService(FlowProcessor):
type = "document-embeddings-query-error",
message = str(e),
),
chunk_ids=[],
chunks=[],
)
await flow("response").send(r, properties={"id": id})