Neo4j Knowledge Graphs and Amazon Bedrock | S0203 | Lets Talk About Data Show
In this show we will be discussing about Neo4j Knowledge Graphs and Amazon Bedrock
In this show we will be discussing about Neo4j Knowledge Graphs and Amazon Bedrock. Neo4j is explained as the original inventor of graph databases in 2007. Graph databases are described as modeling data relationships as nodes and edges, rather than traditional rows and columns. This allows more intuitive and faster queries when data relationships are complex.
Key highlights: -
- Graph databases like Neo4j model data as nodes and relationships, not rows and columns
- This structure allows faster, more intuitive queries for connected data vs traditional databases
- Neo4j invented graph databases in 2007 and created the Cypher query language for graphs
- Use cases include fraud detection, supply chain, healthcare journeys, recommendations
- Neo4j integrates with AWS Bedrock for natural language and LLM augmented graph queries
- Example demo shows querying managers invested in Amazon stock via natural language
Check out the recording here:
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Hosts of the show 🎤Â
Ibrahim Emara - Database Specialist Solutions Architect @ AWS
Guests 🎤Â
Ben Lackey - Cloud Partner Architecture Lead @ Neo4j
Antony - Senior Partner Solutions Architect Analytics @ AWS
Links from today's episodeÂ
- Neo4j and AWSÂ
- When to use a graph databaseÂ
- Neo4j and Bedrock blog postÂ
- A brief history of AI/MLÂ
- Demo codeÂ
- Landing pageÂ
- LLM Landing pageÂ
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