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FalkorDB

An open-source toolkit for building RAG (Retrieval-Augmented Generation) applications using graph databases. We built this because we saw many developers struggling to effectively leverage graph structures in their LLM-powered apps.

Location Tel Aviv, Israel Joined Joined on  Twitter logo GitHub logo External link icon
Support email

info@falkordb.com

Employees

12

KPMG’s AI Report Exposes Critical AI Challenges
danshalev7 profile

KPMG’s AI Report Exposes Critical AI Challenges

#ai #powerfuldevs #database #data
5
Comments
1 min read
What if scaling context windows isn’t the answer to higher accuracy?
danshalev7 profile

What if scaling context windows isn’t the answer to higher accuracy?

#llm #rag #programming #ai
5
Comments
1 min read
Semantic search alone won't solve relational queries in your LLM retrieval pipeline.
danshalev7 profile

Semantic search alone won't solve relational queries in your LLM retrieval pipeline.

#llm #rag #langchain
5
Comments
1 min read
Graph database vs relational vs vector vs NoSQL
danshalev7 profile

Graph database vs relational vs vector vs NoSQL

#database #vectordatabase #comparison
10
Comments
2 min read
Real-Time Knowledge Graphs for GenAI – Join Us at NVIDIA's AI Conference
danshalev7 profile

Real-Time Knowledge Graphs for GenAI – Join Us at NVIDIA's AI Conference

#news #nvidia #ai #falkordb
5
Comments 1
1 min read
LangChain + FalkorDB: Building AI Agents with Memory
danshalev7 profile

LangChain + FalkorDB: Building AI Agents with Memory

#ai #rag #database
5
Comments 1
2 min read
FalkorDB V4.8: Neo4j requires 7x the memory to hold the same dataset
danshalev7 profile

FalkorDB V4.8: Neo4j requires 7x the memory to hold the same dataset

#news #database #vectordatabase #memory
5
Comments 1
1 min read
HN: cypher queries tips (Graph dbms)
danshalev7 profile

HN: cypher queries tips (Graph dbms)

#rust #graphql
10
Comments 1
1 min read
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