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

@@ -66,9 +66,9 @@ tool = TXTSearchTool(
"provider": "openai", # or google-generativeai, cohere, ollama, ...
"config": {
"model": "text-embedding-3-small",
# "api_key": "sk-...", # optional if env var is set
# "api_key": "sk-...", # optional if env var is set (e.g., OPENAI_API_KEY or EMBEDDINGS_OPENAI_API_KEY)
# Provider examples:
# Google → model: "models/embedding-001", task_type: "retrieval_document"
# Google → model_name: "gemini-embedding-001", task_type: "RETRIEVAL_DOCUMENT"
# Cohere → model: "embed-english-v3.0"
# Ollama → model: "nomic-embed-text"
},