Comments (3)
It should be very simple to add that as a wrapper that behaves like the colbert retriever. If you add that as a PR Iām happy to merge it!
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It should be very simple to add that as a wrapper that behaves like the colbert retriever. If you add that as a PR Iām happy to merge it!
Thanks for the prompt reply.
I will try to implement and test it first. Will do the PR once done. Thanks again.
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Added wrapper class and tested with my Azure Cognitive Search index
I added a PR. Please check. Thanks
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Related Issues (20)
- Failed to install with optional extra such as dspy-ai[pinecone] HOT 3
- Is this an "Example Retriever" optimisation or it can also produce prompt from scratch like "LLM as Optimizers" ? HOT 3
- ModuleNotFoundError: No module named 'openai.error' HOT 4
- Update to the latest OpenAI library HOT 6
- Are the save/load functions in BaseModule class meant to save/load the compiled model? HOT 7
- VLLM support not yet merged HOT 2
- How to set prompt templates for local models? HOT 2
- Drop prompt from output is determined in an unclear manner in HFModel HOT 3
- inspect-app development discontinued? HOT 3
- How to actually input lm and rm to this dspy?? HOT 3
- Implementing a Product Description Shortening and Categorization Pipeline with DSPy HOT 5
- tree-of-thoughts-implementation HOT 4
- Support for Chat-Completion model APIs
- BootstrapFewShot teleprompter explanation HOT 4
- Deployment of a compiled program HOT 3
- Standardize Vector Search Retrievers HOT 8
- Integrate Google Gemini and AWS Bedrock HOT 2
- CUDA memoory error when using BootstrapFinetune HOT 5
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