🦜🔗 Build context-aware reasoning applications

Curate better data for LLMs

Build resilient language agents as graphs.

Knowledge-graph based chatbot using GPT3 and Neo4j

A very simple framework for state-of-the-art Natural Language Processing (NLP)

a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)

Semantic Search with streamlit user interface

Source code for the Neo4j Graph Data Science library of graph algorithms.

Graphs for Everyone

Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/

Accompanying repository for my book about Graph Data Science

Superfast AI decision making and intelligent processing of multi-modal data.

Langchain + Docker + Neo4j + Ollama

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

code and resources used in the Going Meta sessions

Resources for the workshop "3 ways you can use ontologies in neo4j" at Graph Connect 2022

A robust & multipurpose Graph object for JavaScript & TypeScript.

💫 Industrial-strength Natural Language Processing (NLP) in Python

RefChecker provides automatic checking pipeline and benchmark dataset for detecting fine-grained hallucinations generated by Large Language Models.

2023 edition of #100daysofnetworks