Tags: SGR198/zep
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fix/AuzreOpenAI embeddings and LLM deployment name (#172) solves "The API deployment for this resource does not exist" for LLM and embedding models deployed in Azure OpenAI by deployment name supported in tmc/langchaingo#253 We can't Validate OpenAI LLM model names from hard-coded list in Azure because the model name parameter in API request is a deployment name, and while Microsoft advises us to use the model name as deployment name, we did not listen, and I didn't want to coordinate redeploying with a different name on a Friday. This also permits use of customized models that can be deployed in Azure side-by-side base models as added benefit so I think it was worthwhile. Co-authored-by: Claudia Justice Kane <claudia.hardman@mattel.com>
Beta/1.9.0 beta1: Fix ranking issue arising from normalizing scores (… …#150) * fix ranking issue resulting from late change to normalized score * beta config * beta tag and loosen docker compose version
Document VectorStore 🔥⭐️; Refactoring (#143) - DocumentStore, a vector store for texts - Embedding pipeline - Refactoring Store infrastructure
BugFix: failure to acquire lock; nil pointer dereference (#132) * only persist session metadata when metadata is present * check for error before dereferencing * don't update message metadata when extractor returns no metadata * only put message metadata if len(metadata) > 0 * putmessage: update metdata outside of message insert tx
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