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Add New VectorDB Supabase (pgvector) Support for RAG in Vocode Open Source #465
Comments
I am working on this issue and according to my research.
I am planning to go ahead with approach number 1 as it will be easier and faster to implement. |
This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions. |
Hi @arpagon I have some questions on the Vector DB implementation and maybe it's relevant for this. Note that these questions are not related to PGVector specifically, but the Vocode's vector db implementation as a whole
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Issue: Add New VectorDB Supabase (pgvector) Support for RAG in Vocode Open Source
Description
This issue proposes the integration of Supabase (pgvector) as a new Vector Database (VectorDB) option for the Retrieval-Augmented Generation (RAG) feature in the Vocode Open Source project. The addition of Supabase (pgvector) aims to enhance the capabilities of RAG by leveraging its efficient vector search functionality, especially beneficial for handling large datasets and complex queries in conversational AI applications.
Objectives
Motivation
https://supabase.com/blog/pgvector-vs-pinecone
Implementation Considerations
Call for Contributions
We encourage contributions from the community to help with the implementation, testing, and documentation of this feature. Whether you're an expert in databases, conversational AI, or a keen open-source contributor, your input is highly valued.
Conclusion
The addition of Supabase (pgvector) as a new VectorDB option in Vocode Open Source is expected to significantly enhance the RAG feature, providing users with more flexibility and performance benefits. We look forward to collaborating with the community on this exciting development.
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