Tomaz Bratanic – Medium

Tomaz Bratanic

Published in

Neo4j Developer Blog

Agentic GraphRAG for Commercial Contracts

Structuring legal information as a knowledge graph to increase answer accuracy using a LangGraph agent

May 5

Agentic GraphRAG for Commercial Contracts

May 5

Published in

Neo4j Developer Blog

Implementing an Automated Report-Generation Agent

Build dynamic data-driven reports automatically using crewAI and Neo4j

Jan 30

Implementing an Automated Report-Generation Agent

Jan 30

Published in

Neo4j Developer Blog

Building Knowledge Graph Agents With LLamaIndex Workflows

A blueprint for building Text2Cypher agentic interfaces

Jan 17

Building Knowledge Graph Agents With LLamaIndex Workflows

Jan 17

Published in

TDS Archive

Building Knowledge Graphs with LLM Graph Transformer

A deep dive into LangChain’s implementation of graph construction with LLMs

Nov 5, 2024

Building Knowledge Graphs with LLM Graph Transformer

Nov 5, 2024

Published in

Neo4j Developer Blog

Limitations of Text Embeddings in RAG Applications

Learn how to overcome them using knowledge graphs and structured tools

Sep 26, 2024

Limitations of Text Embeddings in RAG Applications

Sep 26, 2024

Published in

TDS Archive

Implementing GraphReader with Neo4j and LangGraph

Elevating RAG accuracy and performance by structuring long documents into explorable graphs and implementing graph-based agent systems

Sep 21, 2024

Implementing GraphReader with Neo4j and LangGraph

Sep 21, 2024

Published in

Neo4j Developer Blog

Entity Linking and Relationship Extraction With Relik in LlamaIndex

Build a knowledge graph without an LLM for your RAG applications

Aug 12, 2024

Entity Linking and Relationship Extraction With Relik in LlamaIndex

Aug 12, 2024

Published in

Neo4j Developer Blog

Build a Knowledge Graph-based Agent With Llama 3.1, NVIDIA NIM, and LangChain

Function-calling capabilities retrieve structured data from a knowledge graph to power your RAG apps

Aug 3, 2024

Build a Knowledge Graph-based Agent With Llama 3.1, NVIDIA NIM, and LangChain

Aug 3, 2024

Published in

TDS Archive

Integrating Microsoft GraphRAG into Neo4j

Store the MSFT GraphRAG output into Neo4j and implement local and global retrievers with LangChain or LlamaIndex

Jul 31, 2024

Integrating Microsoft GraphRAG into Neo4j

Jul 31, 2024

Published in

Neo4j Developer Blog

Implementing ‘From Local to Global’ GraphRAG with Neo4j and LangChain: Constructing the Graph

Combine text extraction, network analysis, and LLM prompting and summarization for improved RAG accuracy

Jul 9, 2024

Implementing ‘From Local to Global’ GraphRAG with Neo4j and LangChain: Constructing the Graph

Jul 9, 2024

Tomaz Bratanic

Tomaz Bratanic

Data explorer. Turn everything into a graph. Author of Graph algorithms for Data Science at Manning publication. http://mng.bz/GGVN

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