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 with LlamaIndex and DeciLM: A Step-by-Step Tutorial

Generative AI, Retrieval Augmented Generation (RAG), and Langchain - Cisco Community

Vector Search RAG Tutorial – Combine Your Data with LLMs with Advanced Search

Primer on Vector Databases and Retrieval-Augmented Generation (RAG) using Langchain, Pinecone & HuggingFace, by Jayita Bhattacharyya

Introduction To Retrieval Augmented Generation - Arize AI

Hema Raikhola (@raikhola11) / X

freeCodeCamp on LinkedIn: Multi-Dimensional Arrays in Python – Matrices Explained with Examples

Vector search, RAG, and large language models

The limits of LLMs and how RAG remedies them

Rodney Lamar (@rodenylamar) / X