AG2 Bloggerag2.hashnode.dev·Dec 20, 2024Knowledgeable Agents with FalkorDB Graph RAGAuthors: Mark Sze, Tvrtko Sternak, Davor Runje, AgentGenie, Qingyun Wu TL;DR: We introduce a new ability for AG2 agents, Graph RAG with FalkorDB, providing the power of knowledge graphs Structured outputs, using OpenAI models, provide strict adher...1 likellm
Alexandre Donciu-Julindev.alexdjulin.ovh·Dec 18, 2024Bringing Alice to Life in 7 DaysGithub repo This is an in-depth presentation of my final project at Ironhack AI Engineering Bootcamp, November 2024. https://www.youtube.com/watch?v=VuDmY0BEN10 Meet Alice, your personal AI Librarian! Alice isn’t just any chatbot — she’s a next-lev...1 likelangchain
Farzad Sunavalafarzzy.hashnode.dev·Dec 18, 2024Streamlining Insurance Claim Analysis with Semantic Kernel’s Multi-Agent Orchestration💡 DISLCAIMER: This post is intended for educational purposes only. I do not claim to be an Insurance or Underwriter professional or expert. The information shared is based on a personal project and experiences with Azure OpenAI and Semantic Kernel. ...192 readsRAG
Sukalyan Roysukalyanroy.hashnode.dev·Dec 17, 2024Exploring RAGs: Enhancing Chatbots with Retrieval Augmented GenerationSince ChatGPT was first unveiled, one of my persistent doubts has been how it will work in applications requiring proprietary or post-2022 data. One approach to solve this is to make what's called a RAG. Here I will outline the ideas behind this as I...RAG
Nishchit Bhandariblog.nishchit.work·Dec 16, 2024What is RAG and why is it needed?What is RAG? Among the AI buzzwords that we've been hearing a lot these days, "RAG" is one of the most common ones. Also known as Retrieval Augmented Generation, RAG is a technique used in natural language processing (NLP) where a language model is c...136 readsRAG
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 ...38 readsLangChainRAG
Bulent Siyahbulentsiyah.hashnode.dev·Dec 15, 2024Yapay Öğrenme Kış Okulu 2024 | Yapay Zeka KonuşmalarımMerhaba👋, günümüzde yapay zeka, hayatın her alanında hızla yer buluyor ve artık hepimizin gündeminde. Bu önemli teknolojiyi daha derinlemesine anlatmak ve uygulamalarından bahsetmek adına, 9-10 Kasım tarihlerinde Koç Üniversitesi, Türkiye İş Bankası...generative ai
Philippe Charrièrek33g.hashnode.dev·Dec 13, 2024FeaturedRAG "from Scratch" with Go and OllamaToday, we'll discuss RAG (Retrieval Augmented Generation). This is a way to provide knowledge that an LLM (Large Language Model) doesn't have, allowing it to answer better questions about the Bible, your documentation, a particular domain of knowledg...25 likes·705 readsOllama, Tiny Language Models & GolangRAG
Farzad Sunavalafarzzy.hashnode.dev·Dec 13, 2024Enhancing RAG with Maximum Marginal Relevance (MMR) in Azure AI Search💡 DISCLAIMER: The content below is intended for educational purposes. Actual performance and outcomes will depend on your dataset, indexing strategies, and the task you’re trying to solve with your RAG pipeline. Experimentation is strongly recommend...169 readsRAG
behrooz bozorgchamyblog.behroozbc.ir·Dec 13, 2024Unlocking the Power of xAI in C# and F#: A Developer's Guide to Intelligent Programming and RAGIn the ever-evolving landscape of programming, where the quest for smarter, more efficient code never ceases, xAI Grok emerges as a beacon of innovation. For C# and F# developers, integrating xAI Grok isn't just about adding another tool to your arse...230 readsRAG
