Hi Beam Dev Team, I hope you're doing well. I'm interested in the GSoC project Beam ML Vector DB/Feature Store Integrations and would like to understand more about the scope and technical expectations. Specifically, I have the following questions:
1. What specific capabilities are expected for the integrations with Pinecone and Tecton? 2. Are there any existing implementations or patterns in Beam that should be followed for developing new connectors? 3. How will data retrieval and writing be handled in these integrations? Should they support both batch and streaming modes? 4. Are there any preferred libraries or frameworks that should be used for interacting with these databases? 5. What would be a good starting point for understanding Beam's existing ML-related connectors? I would appreciate any insights you can share and look forward to contributing to the project. Best regards, adiworkprof...@gmail.com Aditya Yadav
