Bringing RAG to Life: Visualizing Retrieval-Augmented Generation Workflows
Bringing RAG to Life: Visualizing Retrieval-Augmented Generation Workflows is a collaborative talk by Ritesh Sakhare and Samyak Raka, designed to demystify the complete Retrieval-Augmented Generation (RAG) architecture and show how it can be practically implemented and visualized.
We’ll start by explaining the core concepts of RAG and its relevance in building more accurate and context-aware AI applications. From there, we’ll move step-by-step through the workflow covering everything from coding a RAG pipeline using LangChain to visualizing the entire process with LangFlow for better transparency and debugging.
Together, we’ll demonstrate a real-time example that ties all the components together: embedding the query, performing a semantic vector search, retrieving the top-k most relevant chunks, combining the retrieved knowledge with the user’s query to construct an effective prompt, passing this to the LLM, and finally producing a grounded and contextually rich response.
By the end of this session, attendees will see how to bring RAG to life in their own projects from writing code to visualizing how each piece fits together and gain actionable insights they can start using immediately.
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Ritesh Deepak Sakhare
Samyak Sachin Raka
