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45
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Agentic Readiness Score
+25 llms.txt +15 structured API missing +20 ai-plugin
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OpenAPI Spec
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Agentic Ready 45/100

            

llms.txt Content

# FalkorDB > Ultra-fast, Multi-tenant Graph Database ## Posts - [New Release: GraphRAG-SDK 0.5 – Simplifying Knowledge Graph Integration for LLMs](https://www.falkordb.com/news-updates/graphrag-sdk-0-5-knowledge-graph-integration/): GraphRAG-SDK 0.5 simplifies knowledge graph workflows—auto-load ontologies, connect to LLMs, and query your data with ease. No manual ontology setup needed. - [FalkorDB’s V4.6 Introduces Load CSV](https://www.falkordb.com/news-updates/falkordbs-v4-6-introduces-load-csv/): FalkorDB's new v4.6 release introduces a powerful CSV loader that streamlines graph database imports with intelligent column mapping and built-in data transformation capabilities. - [Reducing High GraphRAG Indexing Costs: Strategies for Efficient Graph Database Management](https://www.falkordb.com/blog/reduce-graphrag-indexing-costs/): Explore practical methods to reduce GraphRAG Indexing Costs, including query optimization, efficient indexing techniques, and scalable LLM integration for graph databases. - [Understanding Ontologies and Knowledge Graphs](https://www.falkordb.com/blog/understanding-ontologies-knowledge-graph-schemas/): Dive into ontologies, the semantic blueprints of knowledge graphs. Discover how they structure entities, relationships, and axioms to power intelligent data representation and reasoning. - [Fed Up with Broken RAG? TrustGraph's agentic system now integrates with FalkorDB for knowledge extraction](https://www.falkordb.com/news-updates/trustgraph-autonomous-knowledge-extraction/): TrustGraph revolutionizes knowledge extraction through autonomous agents and graph-based RAG, now integrated with FalkorDB for enhanced document analysis and insights. - [Overcome Gartner’s Top RAG Challenges with FalkorDB (5 Tips)](https://www.falkordb.com/blog/graph-rag-vs-vector-rag-solving-gartner-challenges/): Graph RAG emerges as a powerful solution to Gartner's RAG system challenges, offering improved data representation, retrieval mechanisms, a