Implementing RAG with LangChain: Webinar

In this webinar, we will show you how to implement RAG using LangChain, a popular framework for building LLM applications.

Retrieval-Augmented Generation (RAG) is a crucial technique that ensures LLMs provide responses only after checking specific documents, databases, and other external knowledge sources, thereby dramatically increasing the factual accuracy and relevance of their output. For example, an LLM-driven HR bot would be able to reference HR policies of the specific company before answering its employees’ queries related to HR. This session will show you how to leverage RAG using LangChain.

AGENDA
10:00 AM: Welcome note
10:15 AM: RAG Building Blocks, Working and Structure
10:30 AM: Hands-on session: Data preparation, indexing, creating vector stores, devising prompts, evaluating outputs, running full RAG pipeline
11:45 AM: Q&A and conclusion

FEE
This webinar is free to attend but prior registration is required as per the below process.

REGISTRATION
RSVP at https://lu.ma/q9pnhzq5
Registrations for the webinar are available strictly on a first-come-first-served basis.

CERTIFICATION WORKSHOP
We also have another 6-hour hands-on certification workshop coming up on Aug 30th, “Building AI Agents with LangChain and LangGraph - Certification Workshop”. View details and register for it here: https://sunitechai.com/product/certification-workshop-building-agents-with-langchain-and-langgraph

Please reach Nihal at 9663374431 if you need any clarifications or have any challenges in registration. We look forward to seeing many of you there!

This webinar is organized by Deep Tech Stars and SunitechAI.