RAG with GRPO Fine-Tuned Reasoning Model 💡This is a community post by Mahesh Deshwal Group Relative Policy Optimization is the series of RL techniques for LLMs to guide them to specific
End to End Evaluation Template for RAG Apps 💡This is a community post by Mahesh Deshwal Comprehensive Evaluation Metrics for RAG Applications Using LanceDB In the world of Retrieval-Augmented Generation (RAG) applications, evaluating
Agentic RAG using LangGraph: Build autonomous Customer support agent Agent? What's that? In the current world where everything is running with and for AI, retrieval-augmented generation (RAG) systems have become essential for
Practical introduction to Late Chunking or Chunked Pooling 💡This is a community blog by Mahesh Deshwal Improved Contextual Retrieval over large Documents for RAG applications The pronoun is the King (or Queen), and
Advanced RAG with context enrichment window .... and some advanced filtering and re-ranking technique We all know what's Vanilla RAG, how it works, and how to use it but sometimes
Implement contextual retrieval and prompt caching with LanceDB Decrease chunk retrieval failure rate by 35% to 50% Have you ever worked on a task where your users search in one language and the