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-/https://github.com/berriai/litellm/issues/26771
GitHub · issue

#26771 [Bug]: pg-vector vector store has no proper support

  • State: open
  • Author: @sujal011
  • Labels: bug, llm translation, ui-dashboard

### Check for existing issues

- [x] I have searched the existing issues and checked that my issue is not a duplicate.

### What happened?

```bash INFO: 192.168.16.8:59878 - "GET /organization/list HTTP/1.1" 200 OK INFO: 192.168.16.8:59892 - "GET /team/list HTTP/1.1" 200 OK 06:42:21 - LiteLLM Proxy:ERROR: endpoints.py:435 - RAG Ingest failed: litellm.APIConnectionError: Provider 'pg_vector' is not supported for RAG ingestion. Supported providers: openai, bedrock, gemini, s3_vectors, vertex_ai Traceback (most recent call last): File "/usr/lib/python3.13/site-packages/litellm/rag/[main.py](http://main.py)", line 179, in aingest response = await init_response ^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3.13/site-packages/litellm/rag/[main.py](http://main.py)", line 106, in _execute_ingest_pipeline ingestion_class = get_ingestion_class(provider) File "/usr/lib/python3.13/site-packages/litellm/rag/[main.py](http://main.py)", line 74, in get_ingestion_class ```

### Steps to Reproduce

1. clone and run this openai compatible vector store api server https://github.com/[BerriAI/litellm-pgvector](https://github.com/BerriAI/litellm-pgvector) 2. create vect…

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#0 of 0 · 31d18h49m1s ago — entered · #import:https:::github.com:berriai:litellm post #2058
The left issue requires broader cross-layer integration and provider-specific design, while the right is a comparatively contained HTTP configuration propagation fix with focused regression tests.
discussed in #import:https:::github.com:berriai:litellm

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