Recorded on
with Aishwarya Srinivasan, Arvind Narayanamurthy
RAG helps AI applications find the right information before generating an answer. But the quality of that answer depends entirely on how the data is stored, searched, and retrieved. Arjun will show how to use Pinecone to choose the right retrieval method, structure data effectively, and improve RAG accuracy across different types of user queries.
Learn how indexes, embeddings, chunking, and metadata shape what your RAG system can retrieve.
Use Pinecone to choose between dense, keyword, visual, hybrid, scoped, and agentic retrieval.
Build a trusted 5–10 query benchmark to measure retrieval changes and catch regressions quickly.
RAG helps AI applications find the right information before generating an answer. But the quality of that answer depends entirely on how the data is stored, searched, and retrieved. Arjun will show how to use Pinecone to choose the right retrieval method, structure data effectively, and improve RAG accuracy across different types of user queries.
Senior Developer Advocate @Pinecone · Pinecone
Arjun Patel is a Senior Developer Advocate at Pinecone , where he helps developers build production-ready AI applications using vector databases, RAG, and agentic AI. He creates technical content, open source examples, and hands-on workshops that simplify complex AI concepts into practical building patterns. Before Pinecone, Arjun worked across data science and NLP, and holds a degree in Statistics from the University of Chicago
Hosted by Aishwarya Srinivasan and Arvind Narayanamurthy.
AI Advisor / AI Educator
Aishwarya Srinivasan is the Co-Founder of The Gen Academy and a Developer Relations Lead at Nebius. Her experience spans Fireworks AI, Microsoft for Startups, Google Cloud and IBM, where she worked with developers and businesses on practical AI and machine-learning solutions. She holds a postgraduate degree in Data Science from Columbia University and teaches AI engineering, applied machine learning, generative AI and LLMOps.
Founder @ The Gen Academy | AI Solutions Architect | Ex - Adobe, Microsoft, IBM
Arvind brings a cross-company perspective on AI at scale, built across Microsoft, IBM, and Adobe, where he led data science teams and developed production-grade machine-learning solutions. He has built and deployed enterprise AI systems and focuses on translating AI concepts into practical, production-ready solutions. He holds a Master's from Carnegie Mellon University.
