An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
10 Lessons to Get Started Building AI Agents
Everything you need to know to build your own RAG application
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.
Deploy agentic reasoning in a scalable and reliable platform in minutes. Become an on demand subject matter expert by loading portable cognitive cores for the most complex knowledge work. 🧠
Connect to your customer data using any LLM and gain actionable insights. IdentityRAG creates a single comprehensive customer 360 view (golden record) by unifying, consolidating, disambiguating and deduplicating data across multiple sources through identity resolution.
A python library for creating AI assistants with Vectara, using Agentic RAG
🔥🔥🔥 Simple way to create composable AI agents
Developing powerful AI assistants and agents using Genesis and Agentic-RAG.
Repositorio-Tutorial para desarrollo de chatbots, aplicaciones con LLMs y Agentes IA
Comprehensive resources on Generative AI, including a detailed Codebase and tutorials
Agents and RAG workflows with little to no code
RAGLight is a lightweight and modular Python library for implementing Retrieval-Augmented Generation (RAG), Agentic RAG and RAT (Retrieval augmented thinking)..
This repository provides the building blocks for integrating LangChain, LangGraph, and the Tilores entity resolution system.
Interactive LLM Chatbot that constructs direct and transitive software dependencies as a knowledge graph and answers user's questions leveraging RAG and critic-agent approach
It shows how to realize agentic RAG.
A RAG system is just the beginning of harnessing the power of LLM. The next step is creating an intelligent Agent. In Agentic RAG the Agent makes use of available tools, strategies and LLM to generate response in a specialized way. Unlike a simple RAG, an Agent can dynamically choose between tools, routing strategy, etc.
Production-ready Agentic AI ChatBot using Llamaindex and Groq-Llama 3.3
Customize ChatGPT and unleash the full potential of generative AI with Vector Vault
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