Vector Search and RAG Tutorial – Using LLMs with Your Data

You can use Vector Search and embeddings to easily combine your data with large language models like GPT-4. I just published a course on the channel that will teach you how to implement Vector Search on three different projects. First, you will learn about the concepts and then
You can use Vector Search and embeddings to easily combine your data with large language models like GPT-4. I just published a course on the channel that will teach you how to implement Vector Search on three different projects. First, you will learn about the concepts and then I'll guide you through developing three projects. In the first project we build a semantic search feature to find movies using natural language queries. For this we use Python, machine learning

RAG Using LangChain

Wild Wild RAG… (Part 1). Exploring Vector Search and Retrieval…, by Zoheb Abai

freeCodeCamp on LinkedIn: How to Build a Real-time Chat App with ReactJS and Firebase

RAG vs Finetuning — Which Is the Best Tool to Boost Your LLM Application?, by Heiko Hotz

Building a Retrieval-Augmented Generation (RAG) Model from Scratch

Rmz (@remc21) / X

Eman Mohamed on LinkedIn: How to Use Databricks Delta Lake with SQL – Full Handbook

An introduction to RAG and simple/ complex RAG

Retrieval augmented generation: Keeping LLMs relevant and current - Stack Overflow