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Description
Description
Adding support for OpenAI-compatible embedding servers would be a valuable enhancement to the project. This would enable integration with local embedding models and services that implement the OpenAI embeddings API format.
I'm willing to implement this feature myself if it aligns with the project's direction and roadmap.
Acceptance Criteria
- Support for configurable OpenAI-compatible embedding endpoint (base URL)
- API key authentication support for embedding requests
- Model selection parameter for embedding generation
- Batch embedding support (multiple texts in single request)
- Error handling for embedding service failures
- Documentation with configuration examples
- Backward compatibility with existing embedding implementations
Additional Context
This feature would complement the existing RAG infrastructure by providing flexibility in embedding model selection without vendor lock-in.
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