April 25, 2024, 3:30 p.m. | LangChain

LangChain blog.langchain.dev

Optimizing vector retrieval with advanced graph-based metadata techniques using LangChain and Neo4j

Editor's Note: the following is a guest blog post from Tomaz Bratanic, who focuses on Graph ML and GenAI research at Neo4j. Neo4j is a graph database and analytics company which helps organizations find

advanced analytics applications blog database filtering genai graph graph-based graph database improving langchain metadata neo4j organizations rag research retrieval search vector vector search

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US

Research Engineer

@ Allora Labs | Remote

Ecosystem Manager

@ Allora Labs | Remote

Founding AI Engineer, Agents

@ Occam AI | New York