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During our college days, my team and I embarked on an ambitious project—a Scheme Recommendation Chatbot to help users find relevant government schemes using intelligent search. As students new to Retrieval-Augmented Generation (RAG), we faced a big challenge: finding an open-source, scalable, and efficient search solution that didn’t lock us into proprietary or managed tools.
That’s when we discovered OpenSearch—and it completely changed the game!
In this talk, I’ll share: 1. Our journey to OpenSearch and why we made the switch. 2. How we leveraged OpenSearch’s vector search to improve search accuracy. 3. Challenges we faced as students implementing OpenSearch for the first time. 4. Lessons learned and tips for others looking to integrate OpenSearch into their projects.
Now, as a professional working in the industry, I look back at how OpenSearch not only powered our chatbot but also taught us real-world skills. If you’re a student, developer, or someone curious about open-source search and relevance, this talk is for you.
