DeDevsdedevsblog.hashnode.dev·12 hours agoMastering RAG: Guide to Retrieval-Augmented Generation in PythonIntroducing RAG Have you ever wondered how AI systems seem to recall knowledge so well? Enter Retrieval-Augmented Generation (RAG), a cutting-edge approach that combines large language models with external data for enhanced performance. In this blog ...RAG
Henry Aduhenryadu.hashnode.dev·Dec 16, 2024Step-by-Step Guide to Local RAG with Ollama's Gemma 2, and LangChain.dartIntroduction to Local RAG What is Retrieval-Augmented Generation (RAG)? The core idea is to enhance the generative capabilities of language models by incorporating external knowledge retrieved from a document store or database. This approach is very ...41 readsLangChainRAG
3rdSon3rdson.hashnode.dev·Oct 27, 2024How to Add Memory to RAG Applications and AI AgentsSometime in the last 5 months, I built a RAG application, and after building this RAG application, I realised there was a need to add memory to it before moving it to production. I went on YouTube and searched for videos, but I couldn’t find anything...1 like·65 readsAI
Sujit Nirmalblackshadow.hashnode.dev·Oct 24, 2024Introduction to Chatbots and GenAIChatbots are AI-driven programs designed to simulate conversation with human users. They can be used for customer service, personal assistance, and more. Generative AI, on the other hand, involves using AI models to generate new content, such as text...chatbot
Zahiruddin Tavargerezahere.com·Oct 6, 2024Parent Document Retrieval: Balancing Detail and Context for Complex QueriesWhy Use Parent Document Retrieval? Traditional RAG methods can struggle with intricate questions due to their reliance on smaller text segments that may not encapsulate the broader themes or details of the original documents. When building a RAG-base...87 readsGenerative AIRAG
Sujit Nirmalblackshadow.hashnode.dev·Oct 5, 2024Unlocking the Power of Retrieval-Augmented Generation (RAG): A Comprehensive GuideRetrieval-Augmented Generation (RAG) is an innovative AI technique that combines the strengths of information retrieval and text generation. It enhances the capabilities of large language models (LLMs) by integrating external data sources, allowing f...Retrieval-Augmented Generation
Chai-dev682chai-ai.hashnode.dev·Oct 2, 2024Learning RAG: A Practical Guide for Developers Starting OutIntroduction I started my journey with LLMs 2 years ago, and have learned a lot along the way. I have been working and mentoring other enthusiasts in this field and one of the first things that seems to trip people up is how to use RAG. In my opinion...RAG
Muhammad Fahad Bashirmfahadbashir.hashnode.dev·Sep 26, 20246. Understanding Retrievers in detail -LangChain Retriever MethodsThis is the 6th article in my Retrieval-Augmented Generation (RAG) series. In previous articles, we explored what RAG is and how to create a vector store. Now, we’ll cover the next critical step—retrieving data from vector stores. This is a core comp...1 like·44 readsImplementing RAG systems from Scratch in-depthRAG
Surya Maddulasuryamaddula.com·Sep 23, 2024Not RAG, but RAG Fusion? Understanding Next-Gen Info Retrieval.Not RAG, but RAG Fusion? Understanding Next-Gen Info Retrieval. AI and Natural Language Processing are advancing at an incredible pace, and now more than ever, we need better and more RELIABLE ways to find and use information. As we've all experienc...10 likes·175 readsinformation retrival
Zahiruddin Tavargerezahere.com·Sep 23, 2024Unlocking Deep Context: Why You Should Try Multi-Representation IndexingVideo https://www.youtube.com/watch?v=v09v327xIdE Picture this: AI, not just searching for keywords, but truly grasping the intent behind your query. An AI that doesn’t just retrieve what you asked for, but what you need to know. This is the third...154 readsGenerative AIRAG
