Highlights
- Autonomous agents perform complex knowledge extraction tasks without human intervention, processing thousands of documents while maintaining context and relationships.
- Graph-based RAG architecture enables sophisticated query capabilities across interconnected document networks, improving accuracy and context retention.
- Modular system architecture supports multiple LLMs and databases, offering flexible deployment options from local development to enterprise-scale implementations.
The Problem with Traditional Knowledge Extraction
Ever tried extracting meaningful relationships from unstructured data across multiple silos? The obvious solution is to use traditional RAG with vector embeddings.
But here’s the catch – vector similarity alone misses the complex web of relationships that exist between entities.
The current solution is to use large language models (LLMs) for entity and relationship extraction. However, this approach may lead to inconsistent results and lacks the fine-grained control needed for domain-specific knowledge graphs.
TrustGraph integration with FalkorDB solves this by combining three autonomous data extraction agents with a modular pub/sub architecture powered by Apache Pulsar.
How It Works
The FalkorDB-TrustGraph integration leverages a modular architecture centered around Apache Pulsar as a pub/sub backbone. The system deploys three specialized agents:
- Topic Extraction Agent
- Entity Extraction Agent
- Relationship Extraction Agent
These agents work in parallel to build an ultra-dense knowledge graph.
Real-Life Use Cases
Compliance Analysis
Companies can use FalkorDB to analyze regulatory documents like SB1047, understanding the implications for AI development and compliance strategies.
Research and Development
Researchers can leverage the system to explore connections between scientific papers, patents, and industry trends, accelerating innovation.
Customer Support
By integrating customer interaction data, support teams can provide more personalized and context-aware responses, improving customer satisfaction.
The latest stable release (0.17.16) is available now, with version 0.18.7 in beta. Check it out!
TrustGraph:https://github.com/trustgraph-ai/trustgraph
GraphRAG-SDK: https://github.com/FalkorDB/GraphRAG-SDK
FAQ
How does TrustGraph handle unstructured data?
What databases does TrustGraph support?
Can TrustGraph scale for enterprise use?
Build fast and accurate GenAI apps with GraphRAG SDK at scale
FalkorDB offers an accurate, multi-tenant RAG solution based on our low-latency, scalable graph database technology. It’s ideal for highly technical teams that handle complex, interconnected data in real-time, resulting in fewer hallucinations and more accurate responses from LLMs.