Build GraphRAG systems, ground LLMs with structured knowledge, and enable intelligent agents with TuringDB's ultra-fast graph database optimised for AI workloads.
Ground LLMs with structured knowledge graphs for more accurate and contextual responses. Enable AI agents to navigate complex relationships and make informed decisions in real time.
Sub-millisecond knowledge retrieval
Multi-hop reasoning across entities
Dynamic knowledge graph updates
Rich metadata and embeddings support
Hallucination reduction through grounding
Enhance LLM responses with structured knowledge graphs for more accurate and contextual outputs.
• Knowledge graph grounding
• Contextual retrieval
• Hallucination reduction
Build agents that can navigate complex knowledge graphs to make informed decisions.
• Multi-hop reasoning
• Dynamic planning
• Tool orchestration
Organize and query enterprise knowledge for AI-powered search and question-answering systems.
• Semantic search
• Entity linking
• Relationship discovery
Retrieve relevant context from knowledge graphs in under 1ms. Enable real-time AI applications without latency bottlenecks in your RAG pipeline.
Navigate complex relationships across millions of entities. Support sophisticated AI reasoning with deep graph traversals at scale.
Update knowledge graphs in real time without blocking AI queries. Zero-lock concurrency ensures your AI agents always have access to the latest information.
Store embeddings, timestamps, confidence scores, and custom metadata alongside graph relationships. Perfect for AI systems with hybrid symbolic and neural approaches.
Use TuringDB to power GraphRAG systems, hybrid search, and intelligent LLM agents.