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Fix doc embeddings invocation

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Cyber MacGeddon 2026-03-09 11:01:15 +00:00
parent d211dcb58d
commit e851ceecbe
4 changed files with 22 additions and 9 deletions
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5
trustgraph-base/trustgraph/api/flow.py
View file

@ -599,6 +599,7 @@ class FlowInstance:
collection="scientists",
limit=5
)
# results contains {"entities": [{"entity": {...}, "score": 0.95}, ...]}
```
"""
@ -633,7 +634,7 @@ class FlowInstance:
limit: Maximum number of results (default: 10)
Returns:
dict: Query results with chunk_ids of matching document chunks
dict: Query results with chunks containing chunk_id and score
Example:
```python
@ -644,7 +645,7 @@ class FlowInstance:
collection="research-papers",
limit=5
)
# results contains {"chunk_ids": ["doc1/p0/c0", "doc2/p1/c3", ...]}
# results contains {"chunks": [{"chunk_id": "doc1/p0/c0", "score": 0.95}, ...]}
```
"""

2
trustgraph-base/trustgraph/api/socket_client.py
View file

@ -695,7 +695,7 @@ class SocketFlowInstance:
collection="research-papers",
limit=5
)
# results contains {"chunk_ids": ["doc1/p0/c0", ...]}
# results contains {"chunks": [{"chunk_id": "...", "score": 0.95}, ...]}
```
"""
# First convert text to embedding vector