@wpaven.bsky.socialExcellent example of using graphs in #Neo4j to capture a factual substrate that encodes institutional knowledge providing the context AI agents require for reasoning at scale. Improved accuracy, performance and significantly less token spend. www.adyen.com/knowledge-hu...
@statusisdown.bsky.socialneo4jaura is reportedly down at the moment. Are you affected? #Neo4J #Neo4JDown https://statusisdown.com/service/neo4j_aura/
@neo4j.com"Across two deliberately hostile catalogs (278 Census tables on BigQuery and 264 legacy tables on Databricks), a #Neocarta semantic layer in Neo4j makes Text2SQL agents faster, cheaper, and more accurate." claims Mounir Babari.
Full benchmark? https://bit.ly/4APuw5a
@druidsmith.bsky.socialVector search is great for fuzzy retrieval but falls apart when a question needs real traversal in reasoning. I wrote a blog post on why #GraphRAG is becoming the path for more grounded, auditable answers. #AI #LLM #Neo4J #KnowledgeGraphs
@neo4j.comGetting an #AI application into production? It's only one part of the journey. We know challenges shift right away.
One graph behind one application becomes dozens of workloads across teams, tenants, and environments.
Check out #Neo4j capabilities that address #AI scalability.
https://bit.ly/4yg1sSR
@neo4j.comDefine and enforce a graph schema using graph types in #Neo4j!
6 lessons across 1 module-start today!
@wpaven.bsky.socialThis is what we see in the field. A semantic layer in Neo4j provides just one example of this. By using graphs to provide context to LLMs, accuracy significantly increases and token spend significantly decreases (in this benchmark by 40-80%) . #GraphRAG #Neo4j medium.com/neo4j/cut-te...
@neo4j.comYour agent can query the knowledge graph. Can it read the CEO's salary? Delete an asset with zero trace? Break GDPR without anyone knowing?
#RBAC won't save you. Your #graph can. Join us next week:
https://youtube.com/live/6k096_wfHCY
#Neo4j #AgenticAI @indykite.bsky.social