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Expert AI Video Library

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Retrieval Augmented Generation Tutorials

RAG

Local LightRAG: A GraphRAG Alternative but Fully Local with Ollama

In this video, we explore how to set up and run LightRAG—a retrieval augmented generation (RAG) system that combines knowledge graphs with embedding-based retrieval—locally using OLLAMA. .

Agents

RAG with reasoning models

This video explores how reasoning models can help your RAG pipelines. Reasoning model can help with reranking of the returned context without the need for external reranker models.

Agents

Graph RAG: Improving RAG with Knowledge Graphs

Discover Microsoft’s groundbreaking GraphRAG, an open-source system combining knowledge graphs with Retrieval Augmented Generation to improve query-focused summarization. I’ll guide you through setting it up on your local machine, demonstrate its functions, and evaluate its cost implications.

LLM Training

Multimodal RAG with Vision Models

Learn how to create an end to end multimodal RAG pipeline without the need of parsing your docs, chunking, embedding etc. This technique enables you to feed image of your docs (PDF pages) and create a multi-vector represetnation with techniques like ColPali and direclty feed your returned pages in to a Vision Language Model.