Tomaz Bratanic – Medium

Tomaz Bratanic

Tomaz Bratanic
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

Entity Linking and Relationship Extraction With Relik in LlamaIndex

Aug 12

Tomaz Bratanic
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

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

Aug 3

Tomaz Bratanic
in
Towards Data Science

Integrating Microsoft GraphRAG into Neo4j

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

Jul 31

Integrating Microsoft GraphRAG into Neo4j

Jul 31

Tomaz Bratanic
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

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

Jul 9

Tomaz Bratanic
in
Neo4j Developer Blog

Customizing Property Graph Index in LlamaIndex

Entity deduplication and custom retrieval methods to increase GraphRAG accuracy

Jun 24

Customizing Property Graph Index in LlamaIndex

Jun 24

Tomaz Bratanic
in
Neo4j Developer Blog

Graph-based Metadata Filtering for Improving Vector Search in RAG Applications

Optimizing vector retrieval with advanced graph-based metadata techniques using LangChain and Neo4j.

Apr 29

Graph-based Metadata Filtering for Improving Vector Search in RAG Applications

Apr 29

Tomaz Bratanic
in
Neo4j Developer Blog

Enhancing the Accuracy of RAG Applications With Knowledge Graphs

A practical guide to constructing and retrieving information from knowledge graphs in RAG applications with Neo4j and LangChain

Mar 30

Enhancing the Accuracy of RAG Applications With Knowledge Graphs

Mar 30

Tomaz Bratanic
in
Neo4j Developer Blog

JSON-based Agents With Ollama & LangChain

Learn to implement a Mixtral agent that interacts with a graph database Neo4j through a semantic layer

Feb 28

JSON-based Agents With Ollama & LangChain

Feb 28

Tomaz Bratanic

Crowdsourcing Text2Cypher dataset

Contribute to the development of a text2cypher dataset for evaluation and fine-tuning of LLMs

Jan 25

Crowdsourcing Text2Cypher dataset

Jan 25

Tomaz Bratanic
in
Towards Data Science

Evaluating LLMs in Cypher Statement Generation

Step-by-step tutorial for assessing the accuracy of generated Cypher Statements

Jan 19

Evaluating LLMs in Cypher Statement Generation

Jan 19

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

Following

Help
Status
About
Careers
Press
Blog
Privacy
Terms
Text to speech
Teams