RAGApp, a no-code interface for configuring RAG chatbots, is introduced by @llama_index, deployable in any cloud infrastructure. RAGapp now supports @ollama and @qdrant_engine. Learn to build RAG apps with Llama3 on @GroqInc and @chainlit_io. Various resources and courses are available for mastering RAG systems.
Powered by Groq, @Vectorizeio delivers a powerful Retrieval Augmented Generation (#RAG) experimentation and pipeline platform. Read more here: https://t.co/j5EIDm4DFR
How RAG Apps Work with LLMs? RAG (Retrieval Augmented Generation) is a method to enhance the performance of LLMs like GPT-4o, Llama-3, Claude, Gemini, etc by combining retrieval mechanism with generation capabilities. Ever wondered how RAG apps combine retrieval and generation… https://t.co/FyJfQyTdxG
Retrieval Augmented Generation (RAG) enables generative models to source answers quickly and accurately from large data-sets. In our latest edition of Building the AI Workforce, Satya Borgohain shares his insights and learnings from helping build a world-class RAG…
Building Enterprise RAG with AWS Bedrock, @ragas_io, and @llama_index 🧑🏫 We’re hosting a special webinar this Thursday 9am PT in a special collaboration with Ragas + AWS folks. This is a workshop to help you build a production-quality enterprise RAG pipeline. We'll dive into… https://t.co/hnM0gYolFG
[CL] FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research https://t.co/pKiNpHcejA - The paper introduces FlashRAG, an open-source toolkit for retrieval-augmented generation (RAG) research. - It implements a customizable modular framework… https://t.co/cysENladW4
This weekend, learn how to build a RAG app from scratch without using any framework. It is the best way to master the inner workings of retrieval-augmented generation systems. Twelve chapters are already available on Lycee AI, including two free chapters. The course is divided… https://t.co/1c4qgt6viE
Build a Blazing-Fast RAG Chatbot with Llama3 on @GroqInc, @chainlit_io, and @llama_index ⚡️ This is a neat resource by Jayita B. on teaching you how to not only build an advanced RAG indexing/query pipeline, but also turn it into a full-stack application with rapid response… https://t.co/OHQZuFDfK9
Introducing RAGApp 💫 A no-code interface to configure a RAG chatbot, as dead-simple as GPTs by @OpenAI. It’s a docker container that’s easily deployable in any cloud infrastructure. Best of all, it’s fully open-source 🔥 1️⃣ Setup the LLM: Configure the model provider (OpenAI,… https://t.co/34ERj5W7Q9
RAGapp, the easiest way to use Agentic RAG in any enterprise, now supports @ollama for local models and @qdrant_engine as vector DB. Built using @llama_index. 🙏 to @zubinwadia for sponsoring this feature. 🖥️ docker run -p 8000:8000 ragapp/ragapp 📷 https://t.co/q5ufP4vE53 https://t.co/MOnc8zthEX