How to Build a Real-time Graph-RAG Agent for Super-Fast Knowledge Search and Updates
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How to Build a Real-time Graph-RAG Agent for Super-Fast Knowle…
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YouTubeYeyu Lab
How to build knowledge graphs that are fast enough for real-time LLM applications? FalkorDB is an open-source graph database that solves this by reimagining how graphs work. It uses sparse matrices and linear algebra instead of traditional traversal! But there's a problem: When you query for connections, the database walks through nodes and edges like following a map. For massive knowledge graphs powering AI agents, this creates a serious bottleneck. But what if you could represent the entire gr
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How to build knowledge graphs that are fast enough for real-time LLM …
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FacebookMd Ismail Sojal
Knowledgeable Agents with FalkorDB Graph RAG
Knowledgeable Agents with FalkorDB Graph RAG
2 个月之前
dev.to
GraphRAG is the future of enterprise AI.But there's a problem nobody's talking about => your graph database is the bottleneck.FalkorDB just solved it by reimagining how graphs work at the mathematical level.➡️ The GraphRAG Challenge:Everyone's implementing GraphRAG for their LLM applications. Retrieval Augmented Generation with knowledge graphs gives you structured context, not just similar embeddings.But when your agent queries the graph in real-time, traditional databases can't keep up.Your us
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GraphRAG is the future of enterprise AI.But there's a proble…
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x.comTech with Mak
Building Real-Time, Graph-RAG Voice Agents with Graphiti, FalkorDB, and Google ADK
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Giving AI Fresh Context with Cocoindex & FalkorDB's GraphRAG
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Write effective Cypher queries | graph&rag talks by FalkorDB #001
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Write effective Cypher queries | graph&rag talks by FalkorDB #001
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FalkorDB - GraphRAG for GenAI Apps - Install and Test Locally
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How to Use a Knowledge Graph Ft Yohei Nakajima
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