📦 Package Links & Code Examples:- 🐍 PyPI: https://pypi.org/project/graph_nd/- 📁 GitHub: https://github.com/zach-blumenfeld/graph-nd- 📚 Docs: https://grap...

Streamline the process of working with legal contracts by implementing an end-to-end solution using agentic GraphRAG.

Learn when and how to use GraphRAG and how it can improve on some search tasks

GraphRAG: Enhancing Retrieval-Augmented Generation with SurrealDB, Gemini and DeepSeek

Learn more about integrating Neo4j with Qdrant for external vector searches by spinning up both locally and loading with sample data.

In this blog post, we’ll be focusing on how to write the retrieval query that supplements or grounds the LLM’s answer.

Neo4j’s LLM Graph Builder is an app for automatically constructing knowledge graphs from unstructured data sources. It can be run locally…

Graphs are ubiquitous data structures found in numerous real-world applications, such as drug discovery, recommender systems, and social network analysis. Graph neural networks (GNNs) have become...

A question-based extraction approach

The Programmable Cypher-based Neuro-Symbolic AGI that lets you program its behavior using Graph-based Prompt Programming: for people who want AI to behave as expected - SynaLinks/HybridAGI

Learn how to overcome them using knowledge graphs and structured tools