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feat(vector-db): add support for Pinecone client

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Adds Pinecone as a supported vector database option.

- Implements `PineconeClient` with support for common operations: `add`, `query`, `delete`, `reset`.
- Emulates namespace support using metadata filtering (`collection_name` prefix).
- Dynamically configures Pinecone via the following env vars:
  - `PINECONE_API_KEY`
  - `PINECONE_ENVIRONMENT`
  - `PINECONE_INDEX_NAME`
  - `PINECONE_DIMENSION`
  - `PINECONE_METRIC`
  - `PINECONE_CLOUD`
- Integrates cleanly with the vector DB abstraction layer.
- Includes markdown documentation under `docs/getting-started/env-configuration.md`.

BREAKING CHANGE: None
This commit is contained in:
Athanasios Oikonomou
2025-04-20 10:49:28 +03:00
committed by Athanasios Oikonomou
parent af02708b4c
commit e000c56ef7
5 changed files with 421 additions and 1 deletions
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8
backend/open_webui/config.py
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@@ -1736,6 +1736,14 @@ PGVECTOR_INITIALIZE_MAX_VECTOR_LENGTH = int(
os.environ.get("PGVECTOR_INITIALIZE_MAX_VECTOR_LENGTH", "1536")
)
# Pinecone
PINECONE_API_KEY = os.environ.get("PINECONE_API_KEY", None)
PINECONE_ENVIRONMENT = os.environ.get("PINECONE_ENVIRONMENT", None)
PINECONE_INDEX_NAME = os.getenv("PINECONE_INDEX_NAME", "open-webui-index")
PINECONE_DIMENSION = int(os.getenv("PINECONE_DIMENSION", 1536)) # or 3072, 1024, 768
PINECONE_METRIC = os.getenv("PINECONE_METRIC", "cosine")
PINECONE_CLOUD = os.getenv("PINECONE_CLOUD", "aws") # or "gcp" or "azure"
####################################
# Information Retrieval (RAG)
####################################