RAG & Vector Search

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RAG Explained (EP8) : We Built a Chart-Reading RAG (Fixing Indexing, Pulling Real Numbers) | EP8

by AI Bros Podcast

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RAG & Vector Search

The curated collection of videos on Retrieval Augmented Generation (RAG) and Vector Search showcases the increasing intersection of AI capabilities with practical database applications. Dominating themes include hands-on tutorials for implementing RAG in various environments, particularly with vector databases like Milvus and Chroma. The content emphasizes real-world applications, such as enhancing LLMs and integrating AI into existing database systems, making it a valuable resource for senior developers and IT professionals focused on AI deployments. A deep dive into the technologies reveals key frameworks and methodologies. Noteworthy videos include 'RAG Foundations #2 – Vector Search in Milvus for LLMs' by AdiTOSH, which provides a practical demo for LLM integration, and 'Turn Any Database into ChatGPT with RAG' by The AI University, focusing on no-code automation workflows. The series also addresses responsible AI practices, with insights into document automation for sectors like retail, indicating a broader trend towards ethical AI implementations. This collection serves as a comprehensive resource for developers looking to implement RAG effectively within their systems. For actionable insights, channels like Genalytiq offer extensive tutorials, such as the 'LangChain Full Course in One Shot,' providing a thorough overview of AI app development with RAG. Senior developers can particularly benefit from the hands-on approaches and the emphasis on real-time applications, allowing for immediate implementation of these advanced methodologies into their workflows.

Key Themes Across All Feeds

•RAG Implementation
•Vector Databases
•AI Ethics

RAG & Vector Search

RAG Explained (EP8) : We Built a Chart-Reading RAG (Fixing Indexing, Pulling Real Numbers) | EP8

Key Themes Across All Feeds

RAG & Vector Search

RAG Explained (EP8) : We Built a Chart-Reading RAG (Fixing Indexing, Pulling Real Numbers) | EP8

RAG Foundations #2 – Vector Search in Milvus for LLMs (Hands-On Demo, No OpenAI Key)

AI Horizons: RAG in Action – Building Enterprise-Ready Vector Databases with Chroma

Turn Any Database into ChatGPT with RAG | 13 Types of RAGs you should Know

Transforming Seller Onboarding in Retail: Responsible AI, RAG, and Risk Management

“Make your LLMs smarter with Open Source RAG” – Nikolay Stoitsev

LangChain Full Course in One Shot | Learn RAG, LangChain, and AI App Development (Complete Tutorial)

MASTER SERIES - RAG - 12 - INGESTION AND DATA PARSING WORD DOCUMENTS

Still building RAG in notebooks

Building Real Time Agent With LLM LangChain and Web Search | LangChain for Beginners (Part 4)

A RAG pipeline for generative AI ensures trust instead of guesswork

RAG Pipeline: Making AI Reliable

How to Build Agentic RAG using LangGraph | Develop Efficient RAG with LangGraph | Tech Edge AI

⚡ Stop Building RAG Systems from Scratch! Meet R8R (Rapid RAG Runtime)