Engineering Notes
Thoughts and Ideas on AI by Muthukrishnan
Tag: RAG
Adding Context to Chunks for Better Retrieval with Contextual RAG
Improve your RAG pipeline by prepending contextual information to each chunk before embedding, reducing retrieval failures by up to 67%.Building an Agentic RAG Pipeline with LangGraph
Move beyond naive RAG with an agentic approach that uses LLMs to decide what to retrieve, when to retry, and how to synthesize answers.Vector Embeddings and Semantic Search as the Foundation of Agent Memory
Master the mathematical and practical foundations of vector embeddings—the technology that enables AI agents to remember, search, and reason over vast knowledge bases.Beyond the Training Data with Retrieval-Augmented Generation for AI Agents
## 1. Concept Introduction Imagine taking an exam. In a "closed-book" test, you rely solely on what you've memorized. ...