Showing 21-32 of 32 projects
An advanced Retrieval-Augmented Generation (RAG) solution for complex question answering using a sophisticated graph-based algorithm.
A Python library for building AI-powered applications using LangChain, a framework for building applications with large language models.
A course that explores the intersection of philosophy and AI, with a focus on agent-based simulations.
A Python library for building multi-agent systems with large language models (LLMs) and the LangGraph framework.
LangGraph for Java, a library for developing AI Agentic Architectures in the Java ecosystem.
Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph.
A comprehensive collection of the best research papers on multi-agent systems and swarm intelligence.
A project-based course on developing AI agents using LangChain v1+ and LangGraph for search, RAG, reflection, and code interpreters.
Flock is a low-code platform for rapidly building AI-powered chatbots, RAG, and multi-agent workflows.
A low-code tool to rapidly build and coordinate multi-agent teams powered by LLMs and AI tools.
Tenacious tool calling built on LangGraph for AI-powered developers and prompting
An open-source post-building layer for AI agents, providing environment data and evaluations to power agent post-training and monitoring.
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