Chat with Your Data - Azure OSS Contribution
Contributed to Microsoft Azure Samples repository implementing RAG pattern with Azure OpenAI. PR #1661 merged to production.
Overview
Open-source contribution to Microsoft Azure-Samples/chat-with-your-data-solution-accelerator repository (800+ stars). Implemented enhancements to the Retrieval-Augmented Generation (RAG) pattern using Azure OpenAI Service, Azure AI Search, and Python.
Technologies & Tools
Key Features
- 1Retrieval-Augmented Generation (RAG) implementation with Azure OpenAI
- 2Vector search using Azure AI Search for semantic document retrieval
- 3LangChain integration for document processing and prompt engineering
- 4FastAPI backend with React TypeScript frontend
- 5Support for multiple document formats (PDF, DOCX, TXT)
- 6Conversational memory and context management
Challenges & Solutions
Contributing to Large OSS Project
Challenge: Understanding a large codebase with 800+ stars and 50+ contributors, following contribution guidelines, and ensuring code quality.
Solution: Thoroughly reviewed project documentation, analyzed existing patterns, created detailed PR description, and collaborated with maintainers through code review iterations.
RAG Performance Optimization
Challenge: Initial vector search queries were slow, affecting user experience in conversational interface.
Solution: Optimized Azure AI Search index configuration, implemented query result caching, and adjusted similarity thresholds to balance relevance and speed.
Project Information
Timeline
Jun 2024 - Jul 2024
Role
Open Source Contributor
Project Metrics
800+
Stars
50+
Contributors