In this episode we dive into the capabilities of Neo4j Vector Search.
This session will focus on the exciting potential of vector indexes in Neo4j, which facilitate efficient and accurate searching of data by comparing the semantic similarities between vectors.
Guest: David Pond, Neo4j
Vector Search Index: https://neo4j.com/docs/cypher-manual/current/indexes/semantic-indexes/vector-indexes/
Vector Index GraphAcademy Course: https://graphacademy.neo4j.com/courses/llm-vectors-unstructured/
Knowledge Graph Builder App: https://youtube.com/live/NbyxWAC2TLc
Reflection Agents: https://youtube.com/live/Sra-1xhNn28
Neo4j Migration: https://neo4j.com/docs/upgrade-migration-guide/current/
Block Format: https://medium.com/neo4j/try-neo4js-next-gen-graph-native-store-format-def10148c007
Neo4j Release Notes: https://neo4j.com/release-notes/database/neo4j-5/
#neo4j #graphdatabase #vector #index #database