LLMs + Knowledge Graphs = Better Together

LLMs are often like the know-it-all at a bar - they can quickly and confidently produce realistic sounding answers to just about any question - even if the answers are complete fabrications. But an LLM can be grounded in reality by combining it with a Knowledge Graph in order to prevent hallucinations, and to prevent unauthorized access to sensitive data.

This presentation will show how knowledge graphs can be combined with LLMs to:

- eliminate hallucinations

- improve accuracy

- use current information

- enforce security and privacy

- improve reliability and explainability

- simplify access to data

- simplify ingestion of semi

-structured data

- combine vector searching with graph traversal for context-based semantic searching

We will use a Jupyter notebook in a public Github repo for a working demo.


Speaker

Mark Quinsland

Senior Field Engineer @Neo4j

Mark is a Senior Field Engineer at Neo4j and has helped companies all over the world solve complex problems using the power of Graph Databases.

Read more

Session Sponsored By

Neo4j, the Graph Database & Analytics company, helps organizations find hidden relationships
and patterns across billions of data connections deeply, easily and quickly.

Date

Wednesday Oct 4 / 03:55PM PDT ( 50 minutes )

Location

Pacific LM

Video

Video is not available

Slides

Slides are not available

Share

From the same track

Session

Introduction to Real-Time Training and Scoring in AI/ML

Wednesday Oct 4 / 01:35PM PDT

In the rapidly evolving landscape of AI/ML, the shift from batch to real-time data processing is significant. It impacts how quickly and dynamically we can learn from data, leading to more responsive AI applications.

Speaker image - Wes Wagner

Wes Wagner

Solutions Engineer @Redpanda

Session

Can’t Apps and Databases All Just Get Along?

Wednesday Oct 4 / 11:45AM PDT

Availability is a tricky thing. In order for your tier 0 endpoints to be available all their hard dependencies have to be available. For Stytch that means basically network, compute, database, and messaging providers.

Speaker image - Joshua Hight

Joshua Hight

Software Engineer @Stytch

Session

Simple Platform Engineering and Simply High Cardinality Observability

Wednesday Oct 4 / 02:45PM PDT

Platform engineering transforms repetitive Engineering requirements into standardised and dependable services, or "paved roads". These paved roads offer engineering teams a smooth way to develop and deploy business logic layers continuously.

Speaker image - Piyush  Verma

Piyush Verma

Co-Founder and CTO @Last9

Session

Designing AI Agents with System Thinking

Wednesday Oct 4 / 10:35AM PDT

AI agents are a perfect fit for serverless environments, as they can leverage the power of the cloud and the edge for fast and accurate decision making.  It is often the case that AI applications do not require the costly vector database and compute solutions which are often used today, to s

Speaker image - Logan Grasby

Logan Grasby

Founder @Azule.ai