Neo4j graph construction from unstructured data using LLMs
- data-import
- genai
- graph
- graph-rag
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35 production-grade agentic AI architectures (Reflexion, LATS, GraphRAG, MemGPT, Voyager, BrowserAgent, ...) — a Python library and runnable textbook with multi-provider LLM support and a 17-task benchmark leaderboard.
- agentic-ai
- ai-agents
- langchain
- langgraph
Repository for benchmarking graph neural networks (JMLR 2023)
- graph-representation-learning
- graph-neural-networks
- benchmark-framework
- graph-deep-learning
Run any Llama 2 locally with gradio UI on GPU or CPU from anywhere (Linux/Windows/Mac). Use `llama2-wrapper` as your local llama2 backend for Generative Agents/Apps.
- llama-2
- llama2
- llm
- llm-inference
WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.
Vision utilities for web interaction agents 👀
- ocr
- playwright
- selenium
- webscraping
Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.
- ai
- graphs
- synerise
- embeddings