MCP Toolbox for Databases is an open source MCP server for databases.

Prompt engineering, automated.

The Rule-based Retrieval package is a Python package that enables you to create and manage Retrieval Augmented Generation (RAG) applications with advanced filtering capabilities. It seamlessly inte…

AI-Powered Data Processing: Use LOTUS to process all of your datasets with LLMs and embeddings. Enjoy up to 1000x speedups with fast, accurate query processing, that's as simple as writing Pandas code

Supercharge Your LLM Application Evaluations 🚀

Query2box: Reasoning over Knowledge Graphs in Vector Space Using Box Embeddings

The code of paper Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction. Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang, Jie Wang. AAAI 2020.

Benchmark datasets, data loaders, and evaluators for graph machine learning

A full spaCy pipeline and models for scientific/biomedical documents.

Embedded property graph database built for speed. Vector search and full-text search built in. Implements Cypher.

Data and code for Nobel Laureate academic genealogy network analysis and entity resolution

FastAPI framework, high performance, easy to learn, fast to code, ready for production

Data validation using Python type hints

AI observability platform for production LLM and agent systems.

Automated knowledge graph creation SDK

Knowledge Table is an open-source package designed to simplify extracting and exploring structured data from unstructured documents.

Retrieve, Read and LinK: Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget (ACL 2024)

Strwythura: construct an entity-resolved knowledge graph from structured data sources and unstructured content sources, implementing an ontology pipeline, plus context engineering for optimizing AI…

Toolbox for molecular animations in Blender, powered by Geometry Nodes.

Schemas for WhyHow's automated knowledge graph creation SDK

[KDD'2024] "HiGPT: Heterogenous Graph Language Models"

Structured Outputs

Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts)

Collection of companies, database vendors, and research institutes that hire knowledge graph engineers

Semantic layer on top of a graph database to provide an LLM with a set of robust tools to interact with the database

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.

Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"