llmware-ai
Add support for integration into cloud services
The PGVector DB request is clear enough and may be something we look at as we do plan to expand our list of supported vector databases.
However what specific integrations / gaps with llmware workflows are you referring to when mentioning the big 3 Cloud providers (AWS, Azure, GCP)?
Offering an integration with AWS Kendra would enable comparison use cases. I can see llmware being useful for quick proof-of-concept services. Being able to then compare that output to what a GenAI "service" like AWS Bedrock delivers would be helpful. This could be a bit tricky as Kendra has vector db qualities but can also run in memory over documents in a way that is similar to FAISS. It doesn't seem to fit neatly into the same call currently being made to Milvus in the example docs.
Closing issue as stale. We have added ~6 different vector DBs since the original issue was opened, along with a variety of integrations. If specific request around AWS still pending, then please raise again as a specific issue.
