fix: rag tool embeddings config

* fix: ensure config is not flattened, add tests

* chore: refactor inits to model_validator

* chore: refactor rag tool config parsing

* chore: add initial docs

* chore: add additional validation aliases for provider env vars

* chore: add solid docs

* chore: move imports to top

* fix: revert circular import

* fix: lazy import qdrant-client

* fix: allow collection name config

* chore: narrow model names for google

* chore: update additional docs

* chore: add backward compat on model name aliases

* chore: add tests for config changes
This commit is contained in:
Greyson LaLonde
2025-11-24 16:51:28 -05:00
committed by GitHub
parent 9c84475691
commit a928cde6ee
46 changed files with 1850 additions and 291 deletions

View File

@@ -108,10 +108,10 @@ youtube_search_tool = YoutubeVideoSearchTool(
),
),
embedder=dict(
provider="google", # or openai, ollama, ...
provider="google-generativeai", # or openai, ollama, ...
config=dict(
model="models/embedding-001",
task_type="retrieval_document",
model_name="gemini-embedding-001",
task_type="RETRIEVAL_DOCUMENT",
# title="Embeddings",
),
),