apunkt/dograh
1
0
Fork 0
mirror of https://github.com/dograh-hq/dograh.git synced 2026-06-28 08:49:42 +02:00
Code Issues Projects Releases Packages Wiki Activity

fix: enable knowledge base with Dograh config v2

Browse source
This commit is contained in:
Abhishek Kumar 2026-06-25 22:21:11 +05:30
parent d675fd1fda
commit efb25a0cc5
19 changed files with 557 additions and 113 deletions
Download patch file Download diff file Expand all files Collapse all files

36
api/routes/knowledge_base.py
View file

@ -373,11 +373,7 @@ async def search_chunks(
apply_managed_embeddings_base_url,
get_resolved_ai_model_configuration,
)
from api.services.configuration.registry import ServiceProviders
from api.services.gen_ai import (
AzureOpenAIEmbeddingService,
OpenAIEmbeddingService,
)
from api.services.gen_ai import build_embedding_service
# Try to get user's embeddings configuration
resolved_config = await get_resolved_ai_model_configuration(
@ -405,22 +401,20 @@ async def search_chunks(
effective_config.embeddings, "api_version", None
)
# Initialize embedding service based on provider
if embeddings_provider == ServiceProviders.AZURE.value and embeddings_endpoint:
embedding_service = AzureOpenAIEmbeddingService(
db_client=db_client,
api_key=embeddings_api_key,
endpoint=embeddings_endpoint,
model_id=embeddings_model or "text-embedding-3-small",
api_version=embeddings_api_version or "2024-02-15-preview",
)
else:
embedding_service = OpenAIEmbeddingService(
db_client=db_client,
api_key=embeddings_api_key,
model_id=embeddings_model or "text-embedding-3-small",
base_url=embeddings_base_url,
)
# Manual search runs outside any workflow run, so resolve the MPS
# correlation id here (mint only for orgs already on v2; never create one).
embedding_service = await build_embedding_service(
db_client=db_client,
provider=embeddings_provider,
api_key=embeddings_api_key,
model=embeddings_model,
base_url=embeddings_base_url,
endpoint=embeddings_endpoint,
api_version=embeddings_api_version,
organization_id=user.selected_organization_id,
created_by=str(user.provider_id),
resolve_correlation=True,
)
# Perform search
results = await embedding_service.search_similar_chunks(