Get your documents ready for gen AI

✖️MEN - A Modular Toolkit for Cross-Lingual Medical Entity Normalization

State-of-the-Art Text Embeddings

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of …

Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.

Detect and extract tables to markdown and csv

Extract structured text from pdfs quickly

Python package that wraps around the ClinicalTrials.gov API

DSPy: The framework for programming—not prompting—language models

Custom css for NASA-TLX in Qualtrics

Sigma React component

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

LibKGE - A knowledge graph embedding library for reproducible research

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

Streamlit — A faster way to build and share data apps.

Dominate is a Python library for creating and manipulating HTML documents using an elegant DOM API. It allows you to write HTML pages in pure Python very concisely, which eliminate the need to lear…

Repository for "MultiHop-RAG: A Dataset for Evaluating Retrieval-Augmented Generation Across Documents" (COLM 2024)

Don't worry about UMLS, RxNorm, SNOMED, or SemMedDB licensing - write code that knows how to download it automatically

Example GraphRAG Patterns

https://graphacademy.neo4j.com/courses/llm-fundamentals/

Python package for graph statistics

A foundation model for knowledge graph reasoning

A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey" (TKDE)

A collection of AWESOME things about Graph-Related LLMs.

Code to prototype the new Drug Interaction Knowledge Base

A resource of adverse drug effects extracted from FDA structured product labels

Hetnets in Python (relocated from dhimmel/hetio)

Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks

🐸 Idiomatic conversion between URIs and compact URIs (CURIEs) in Python

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…