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fix: rag tool embeddings config

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* 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
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8
docs/en/concepts/knowledge.mdx
View File

@@ -388,8 +388,8 @@ crew = Crew(
agents=[sales_agent, tech_agent, support_agent],
tasks=[...],
embedder={ # Fallback embedder for agents without their own
"provider": "google",
"config": {"model": "text-embedding-004"}
"provider": "google-generativeai",
"config": {"model_name": "gemini-embedding-001"}
}
)
@@ -629,9 +629,9 @@ agent = Agent(
backstory="Expert researcher",
knowledge_sources=[knowledge_source],
embedder={
"provider": "google",
"provider": "google-generativeai",
"config": {
"model": "models/text-embedding-004",
"model_name": "gemini-embedding-001",
"api_key": "your-google-key"
}
}

18
docs/en/concepts/memory.mdx
View File

@@ -341,7 +341,7 @@ crew = Crew(
embedder={
"provider": "openai",
"config": {
"model": "text-embedding-3-small" # or "text-embedding-3-large"
"model_name": "text-embedding-3-small" # or "text-embedding-3-large"
}
}
)
@@ -353,7 +353,7 @@ crew = Crew(
"provider": "openai",
"config": {
"api_key": "your-openai-api-key", # Optional: override env var
"model": "text-embedding-3-large",
"model_name": "text-embedding-3-large",
"dimensions": 1536, # Optional: reduce dimensions for smaller storage
"organization_id": "your-org-id" # Optional: for organization accounts
}
@@ -375,7 +375,7 @@ crew = Crew(
"api_base": "https://your-resource.openai.azure.com/",
"api_type": "azure",
"api_version": "2023-05-15",
"model": "text-embedding-3-small",
"model_name": "text-embedding-3-small",
"deployment_id": "your-deployment-name" # Azure deployment name
}
}
@@ -390,10 +390,10 @@ Use Google's text embedding models for integration with Google Cloud services.
crew = Crew(
memory=True,
embedder={
"provider": "google",
"provider": "google-generativeai",
"config": {
"api_key": "your-google-api-key",
"model": "text-embedding-004" # or "text-embedding-preview-0409"
"model_name": "gemini-embedding-001" # or "text-embedding-005", "text-multilingual-embedding-002"
}
}
)
@@ -461,7 +461,7 @@ crew = Crew(
"provider": "cohere",
"config": {
"api_key": "your-cohere-api-key",
"model": "embed-english-v3.0" # or "embed-multilingual-v3.0"
"model_name": "embed-english-v3.0" # or "embed-multilingual-v3.0"
}
}
)
@@ -478,7 +478,7 @@ crew = Crew(
"provider": "voyageai",
"config": {
"api_key": "your-voyage-api-key",
"model": "voyage-large-2", # or "voyage-code-2" for code
"model": "voyage-3", # or "voyage-3-lite", "voyage-code-3"
"input_type": "document" # or "query"
}
}
@@ -912,10 +912,10 @@ crew = Crew(
crew = Crew(
memory=True,
embedder={
"provider": "google",
"provider": "google-generativeai",
"config": {
"api_key": "your-api-key",
"model": "text-embedding-004"
"model_name": "gemini-embedding-001"
}
}
)