Semantic layer on top of a graph database to provide an LLM with a set of robust tools to interact with the database
MIT License
Reference implementations of several LangChain agents as Streamlit apps
Automate tasks with specialized AI Agents using CrewAI, Langchain and LLMs, a team of agents that...
Flock is a low-code platform for rapidly building chatbots, RAG applications, and coordinating mu...
Explore the realms of graph databases with Neo4j, dive into Cypher queries, and integrate LLMs fo...
2Waffles.Ai - An innovative dual-powered, intelligent assistant AI CRM assistant designed to enha...
Agentica: Build Multi-Agent Workflow with 3 lines code. 三行代码打造个人助手智能体。
NextAGIFuture is a low-code platform for rapidly building chatbots, RAG applications, and coordin...
Development and deployment of a question-answer LLM model using Llama2 with 7B parameters and RAG...
🦜🔗 Build context-aware reasoning applications
Framework to bring LLM applications to production
LangGraph template for a simple ReAct agent
This project is designed for a simple LLM agent with tools on a clinical knowledge graph in Neo4j.
Chain together LLMs for reasoning & orchestrate multiple large models for accomplishing complex t...
🤖 Everything you need to create an LLM Agent—tools, prompts, frameworks, and models—all in one pl...