FalkorDB Named 2024 Tech Trailblazers Awards Finalist

Excited to announce that FalkorDB has been announced as a finalist in the Firestarter Trailblazer category in the 2024 Tech Trailblazers Awards.

How to vote for FalkorDB

To vote for FalkorDB, please head over to:https://techtrailblazers.awardsplatform.com/entry/vote/poYRJgVO/KlNyNdeJ?search=978d02587d93a726-1

Rose Ross, Chief Trailblazer, The Tech Trailblazers Awards said;

“2024 has been our largest cohort to date with over 10% more entries than 2023. It is once more a year where we have welcomed amazing startups and startup leaders. Our deepest thanks go to the judges for helping to compile this outstanding shortlist. The Tech Trailblazers team wish all the finalists the very best of the trailblazing luck.”

About the Tech Trailblazers Awards

www.techtrailblazers.com @techtrailblaze Tech Trailblazers is a new concept in awards, designed explicitly for smaller businesses and startups that are under seven years old and at C-series funding or below.

The 2024 awards include the following categories: • AI Trailblazers • Big Data Trailblazers • Blockchain Trailblazers • Cloud Trailblazers • Developer Trailblazers • Female Trailblazer of the Year • FinTech Trailblazers • Firestarter Trailblazers • IoT Trailblazers • Investment Trailblazers • Male Trailblazer of the Year • Networking Trailblazers • Security Trailblazers • Storage Trailblazers • Sustainable Tech Trailblazers • Telecoms Trailblazers

Ultra-fast, multi-tenant graph database using sparse matrix representations and linear algebra, ideal for highly technical teams that handle complex data in real-time, resulting in fewer hallucinations and more accurate responses from LLMs.

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Simply ontology creation, knowledge graph creation, and agent orchestrator

Explainer

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Ultra-fast, multi-tenant graph database using sparse matrix representations and linear algebra, ideal for highly technical teams that handle complex data in real-time, resulting in fewer hallucinations and more accurate responses from LLMs.

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Avi Tel-Or

CTO at Intel Ignite Tel-Aviv

I enjoy using FalkorDB in the GraphRAG solution I'm working on.

As a developer, using graphs also gives me better visibility into what the algorithm does, when it fails, and how it could be improved. Doing that with similarity scoring is much less intuitive.

Dec 2, 2024

Ultra-fast, multi-tenant graph database using sparse matrix representations and linear algebra, ideal for highly technical teams that handle complex data in real-time, resulting in fewer hallucinations and more accurate responses from LLMs.

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