rag-postegres-backend-v1

This release focuses entirely on the backend, preparing the foundation for future frontend integration.

Key updates include:

• Database Migration: The backend has been migrated from MongoDB to PostgreSQL, offering a more robust and relational data structure.

• Vector Embeddings: Added pgvector support to efficiently store and query document embeddings for improved search and retrieval.

• Backend Stability: Refactored existing endpoints to work seamlessly with PostgreSQL while maintaining all previous functionality.

• Containerization: The backend is now fully containerized using Docker, making it easier to deploy, scale, and maintain across different environments.

• Future-Proofing: These updates prepare the backend for upcoming frontend features and enhanced document retrieval workflows.

This release is backend-only; no frontend changes are included. It focuses on performance, scalability, maintainability, and easier deployment through Docker.

rag-mongodb-v1

This release marks the first stable version of the RAG app using MongoDB as its database.

Features & Highlights:

• Fully functional RAG app with current feature set.
• Stable MongoDB integration for storing and retrieving data.
• Minor bug fixes and performance improvements.

Notes:

• The database is still MongoDB; a future release will migrate to PostgreSQL
• All core functionalities are tested and stable for this version