Corporate Documents

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FalkorDB’s Knowledge Graph for Corporate Documents LLM applications offers advanced semantic understanding, enabling precise retrieval (GraphRAG) and analysis of legal texts, contracts, and compliance documents. It facilitates entity extraction to identify key stakeholders, legal terms, and obligations, streamlining due diligence and risk assessment processes.

Code Analysis

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FalkorDB’s Graph Database excels in source code analysis by modeling relationships between code components such as classes, methods, and dependencies. It enables tracing complex code flows, identifying dependencies across modules, and visualizing the impact of changes. With graph queries, developers can efficiently navigate large codebases, detect code smells, and optimize performance bottlenecks. Read full case […]

Security

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FalkorDB is pivotal in security applications by correlating diverse data points like user behaviors, access patterns, and network connections. It enables threat detection by identifying anomalous activities through pattern recognition and graph algorithms. Security analysts leverage graph databases to visualize attack paths, trace incident timelines, and prioritize response actions.

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

Explainer

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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