This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

Neo4j graph construction from unstructured data using LLMs

A modular graph-based Retrieval-Augmented Generation (RAG) system

神级Cursor Rule

the LLM vulnerability scanner

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data…

Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.

A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.

Deciphering Oracle Bone Language with Diffusion Models (ACL 2024 Best Paper)

Financial data platform for analysts, quants and AI agents.

The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

TradingAgents: Multi-Agents LLM Financial Trading Framework

LMDeploy is a toolkit for compressing, deploying, and serving LLMs.

Factorio headless server in a Docker container

Have fun with audit log analysis :)

Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.

Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

Fast Python Collaborative Filtering for Implicit Feedback Datasets

A Python scikit for building and analyzing recommender systems

A collection of tutorials for the OpenTracing API

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

Easily compute clip embeddings and build a clip retrieval system with them

🦜🔗 The platform for reliable agents.

This is a python API which allows you to get the transcript/subtitles for a given YouTube video. It also works for automatically generated subtitles and it does not require an API key nor a headles…

A framework for large scale recommendation algorithms.

Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems

Deep recommender models using PyTorch.

A Python implementation of LightFM, a hybrid recommendation algorithm.

Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib).