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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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18
trustgraph-base/trustgraph/api/socket_client.py
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@ -649,12 +649,12 @@ class SocketFlowInstance:
)
```
"""
# First convert text to embeddings vectors
# First convert text to embedding vector
emb_result = self.embeddings(texts=[text])
vectors = emb_result.get("vectors", [[]])[0]
vector = emb_result.get("vectors", [[]])[0]
request = {
"vectors": vectors,
"vector": vector,
"user": user,
"collection": collection,
"limit": limit
@ -698,12 +698,12 @@ class SocketFlowInstance:
# results contains {"chunk_ids": ["doc1/p0/c0", ...]}
```
"""
# First convert text to embeddings vectors
# First convert text to embedding vector
emb_result = self.embeddings(texts=[text])
vectors = emb_result.get("vectors", [[]])[0]
vector = emb_result.get("vectors", [[]])[0]
request = {
"vectors": vectors,
"vector": vector,
"user": user,
"collection": collection,
"limit": limit
@ -936,12 +936,12 @@ class SocketFlowInstance:
)
```
"""
# First convert text to embeddings vectors
# First convert text to embedding vector
emb_result = self.embeddings(texts=[text])
vectors = emb_result.get("vectors", [[]])[0]
vector = emb_result.get("vectors", [[]])[0]
request = {
"vectors": vectors,
"vector": vector,
"schema_name": schema_name,
"user": user,
"collection": collection,