NoSQL Database: Modern Architecture for Scalable Apps

NoSQL is ideal for unstructured data & high-velocity operations

NoSQL database architectures overcome relational limitations with schema flexibility and distributed processing. Learn how graph, document, key-value, and columnar NoSQL models power AI and real-time analytics.

Vector Database vs Graph Database: Key Technical Differences

Vector Database vs Graph Database by falkordb

Unstructured data is all the data that isn’t organized in a predefined format but is stored in its native form. Due to this lack of organization, it becomes more challenging to sort, extract, and analyze. More than 80% of all enterprise data is unstructured, and this number is growing. This type of data comes from […]

Efficient State Machine Modeling Using FalkorDB

img 3 FalkorDB

The latest release of FalkorDB V4.0.5 includes a new ability to easily clone graphs. In this blog post we’ll be developing a state machine framework where a machine is represented by a graph. Whenever a FSM (finite state machine) is executed a copy of the initial graph is created and the execution is bound to that […]

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.

USE CASES

SOLUTIONS

Simply ontology creation, knowledge graph creation, and agent orchestrator

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Explainer

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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