Row embeddings APIs exposed (#646)

* Added row embeddings API and CLI support

* Updated protocol specs

* Row embeddings agent tool

* Add new agent tool to CLI
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cybermaggedon 2026-02-23 21:52:56 +00:00 committed by GitHub
parent 1809c1f56d
commit 4bbc6d844f
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25 changed files with 1090 additions and 29 deletions

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@ -34,5 +34,6 @@ from . tool_service import ToolService
from . tool_client import ToolClientSpec
from . agent_client import AgentClientSpec
from . structured_query_client import StructuredQueryClientSpec
from . row_embeddings_query_client import RowEmbeddingsQueryClientSpec
from . collection_config_handler import CollectionConfigHandler

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@ -0,0 +1,45 @@
from . request_response_spec import RequestResponse, RequestResponseSpec
from .. schema import RowEmbeddingsRequest, RowEmbeddingsResponse
class RowEmbeddingsQueryClient(RequestResponse):
async def row_embeddings_query(
self, vectors, schema_name, user="trustgraph", collection="default",
index_name=None, limit=10, timeout=600
):
request = RowEmbeddingsRequest(
vectors=vectors,
schema_name=schema_name,
user=user,
collection=collection,
limit=limit
)
if index_name:
request.index_name = index_name
resp = await self.request(request, timeout=timeout)
if resp.error:
raise RuntimeError(resp.error.message)
# Return matches as list of dicts
return [
{
"index_name": match.index_name,
"index_value": match.index_value,
"text": match.text,
"score": match.score
}
for match in (resp.matches or [])
]
class RowEmbeddingsQueryClientSpec(RequestResponseSpec):
def __init__(
self, request_name, response_name,
):
super(RowEmbeddingsQueryClientSpec, self).__init__(
request_name = request_name,
request_schema = RowEmbeddingsRequest,
response_name = response_name,
response_schema = RowEmbeddingsResponse,
impl = RowEmbeddingsQueryClient,
)