Overview of RAG Approaches with Vector Databases
Автор: KX
Загружено: 2023-11-08
Просмотров: 3275
Описание:
Retrieval Augmented Generation (RAG) is a fast-moving practice to extend the knowledge of your LLMs to private and real-time data. In the past few weeks and months, different approaches have been constructed by developers around the world, including:
Naive RAG
Agent Assisted RAG
Guardrails RAG
Knowledge Graph RAG
Time Based RAG
These often use LangChain or LlamaIndex with a vector database to create useful conversational apps.
Join this session as we discuss different approaches to RAG, as well as optimizing RAG with structured retrieval, chunk decoupling, and more.
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