From Air Quality to Aircraft and Automobiles, Data Is Everywhere

Tim Spann explores how Apache NiFi can be used to integrate open source LLMs to implement scalable and efficient RAG pipelines.

He shows how any kind of data including graph, semi-structured, structured, and unstructured data from a variety of sources and types can be processed, queried, and used to feed large language models for smart, contextually aware answers. Look for his example utilizing Cortex AI, LLAMA, Apache NiFi, Apache Iceberg, Snowflake, open source tools, libraries, and Notebooks.

Tim will integrate NiFi, Snowflake and Neo4j Graph Data Science.

Speaker: Timothy Spann

Resources:
Get Started with Aura – https://bit.ly/3LOLrjh
Deployment Center – https://bit.ly/4jOelM3
Ground AI Systems and Agents with Neo4j – https://bit.ly/4oVsnyb

#nodes2025 #neo4j #graphdatabase #graphrag #knowledgegraph