Build and query dynamic, temporally-aware Knowledge Graphs

Multidocument Summarization for Literature Review Shared Task 2022

🪄📄 TOPICAL: TOPIC pages AutomagicaLly

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

A web-based, lighter version of Gephi

LLMFlows - Simple, Explicit and Transparent LLM Apps

A simple chess environment for openai/gym

From Dataset Labeling, Entity Extraction to production Knowledge Graph Deployment: The Power of NLP and LLMs Combined.

TextGraphs + LLMs + graph ML for entity extraction, linking, ranking, and constructing a lemma graph

Synthetic Q&A generator

GraphRAG database - hybrid graph / vector db

PyTorch-IE: State-of-the-art Information Extraction in PyTorch

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs (ACL 2024)

Example project demonstrating how to implement GraphRAG

Peer to peer distribution of container content in Kubernetes clusters.

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

An open source, standard data file format for graph data storage and retrieval.

Implementation of KDD 2023 Debiasing Recommendation by Learning Identifiable Latent Confounders

SaaS-simple deployment of Kubernetes - on your own hardware.

Your AI second brain. Get answers to your questions, whether they be online or in your own notes. Use online AI models (e.g gpt4) or private, local LLMs (e.g llama3). Self-host locally or use our c…

🐧 The immutable Linux meta-distribution for edge Kubernetes.

Quantifying rankings bias

PySpark-based causal inference package.

SCOPE-RL: A python library for offline reinforcement learning, off-policy evaluation, and selection

Is ChatGPT Good at Search? LLMs as Re-Ranking Agent [EMNLP 2023 Outstanding Paper Award]

MULTR is a new Unbiased Learning to Rank method. It leverages the pseudo clicks from user simulator and combines with real clicks in a doubly robustness way, which obtains a low bias and low varian…

Zero-shot KGQA method based on curiosity-driven graph exploration. Agarwal et al., "Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA", NAACL 2024.

Integrate prefect with slurm workload manager for HPC environments