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Submit your Talks by June 23, 2024
Submit your Talks by June 23, 2024
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A Tale of LLMs and Graphs — The GenAI Graph Gathering

A Tale of LLMs and Graphs — The GenAI Graph Gathering

Neo4j, LLM creators, RAG orchestrators, knowledge graph designers, researchers, and deep thinkers gathered to explore GenAI.
Go to the profile of Andreas Kollegger
Andreas Kollegger
GenAI Starter Kit: Everything You Need to Build an Application with Spring AI in Java

GenAI Starter Kit: Everything You Need to Build an Application with Spring AI in Java

Use Spring AI to extend the richness of the Spring ecosystem and write a GenAI app in Java
Go to the profile of Jennifer Reif
Jennifer Reif
Unleashing the Power of NLP with LlamaIndex and Neo4j: A Starter Kit

Unleashing the Power of NLP with LlamaIndex and Neo4j: A Starter Kit

Unlocking the true potential
Go to the profile of Alison Cossette
Alison Cossette
Data Exploration With the Neo4j Runway Python Library

Data Exploration With the Neo4j Runway Python Library

Explore and ingest your relational data into a Neo4j graph in minutes
Go to the profile of Alex Gilmore
Alex Gilmore
Easy Data Ingestion With Neo4j Runway and arrows.app

Easy Data Ingestion With Neo4j Runway and arrows.app

Automatically write ingestion code for your Neo4j graph.
Go to the profile of Alex Gilmore
Alex Gilmore
Graph vs. Vector RAG — Benchmarking, Optimization Levers, and a Financial Analysis Example

Graph vs. Vector RAG — Benchmarking, Optimization Levers, and a Financial Analysis Example

Differences in graph & vector search, Benchmarks and understanding how depth & breadth answers can be optimized through graph structures.
Go to the profile of Chia Jeng Yang
Chia Jeng Yang
LangChain Neo4j Starter Kit

LangChain Neo4j Starter Kit

Have you heard of Generative AI (GenAI) and Graph Retrieval-Augmented Generation (GraphRAG), but aren’t sure where to begin?
Go to the profile of Jason Koo
Jason Koo
From Ancient Epic to Modern Marvel: Demystifying the Mahabharata Chatbot with GraphRAG (Part 3)

From Ancient Epic to Modern Marvel: Demystifying the Mahabharata Chatbot with GraphRAG (Part 3)

Explore the inner workings of a context-rich chatbot that brings Mahabharata to life, powered by GraphRAG.
Go to the profile of Siddhant Agarwal
Siddhant Agarwal
Going Meta: Wrapping Up GraphRAG, Vectors, and Knowledge Graphs

Going Meta: Wrapping Up GraphRAG, Vectors, and Knowledge Graphs

In the 27 episodes of our livestream series, Jesús Barrasa and I explored the many aspects of semantics, ontologies, and knowledge graphs.
Go to the profile of Alexander Erdl
Alexander Erdl
Topic Extraction with Neo4j GDS for Better Semantic Search in RAG Applications

Topic Extraction with Neo4j GDS for Better Semantic Search in RAG Applications

Overcome the limitations of vector search is by extracting topics from documents and use them as the basis for semantic search.
Go to the profile of Nathan Smith
Nathan Smith
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