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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.

Tel Aviv, Israel Joined on Dec 19, 2024

Support email

info@falkordb.com

Employees

12

Dan Shalev

Mar 12

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

#llm #rag #langchain

1 min read

Dan Shalev

Mar 11

Graph database vs relational vs vector vs NoSQL

#database #vectordatabase #comparison

2 min read

Dan Shalev

Mar 6

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

#news #nvidia #ai #falkordb

1 min read

Dan Shalev

Mar 3

LangChain + FalkorDB: Building AI Agents with Memory

#ai #rag #database

2 min read

Dan Shalev

Feb 26

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

#news #database #vectordatabase #memory

1 min read

Dan Shalev

Feb 20

HN: cypher queries tips (Graph dbms)

#rust #graphql

1 min read

Dan Shalev

Feb 19

NoLiMA: GPT-4o achieve 99.3% accuracy in short contexts (<1K tokens), performance degrades to 69.7% at 32K tokens.

#ai #llm #rag #programming

1 min read

Dan Shalev

Feb 16

Streamline Document Processing Pipelines with FalkorDB’s String Loader

#python #learning

1 min read

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