Graph RAG Development
We build Graph RAG systems that combine knowledge graphs with retrieval-augmented generation, enabling AI to understand and reason about complex relationships in your data.
What We Offer
- Knowledge graph design and construction
- Automated entity and relationship extraction
- Multi-hop reasoning engines
- Hybrid retrieval (graph traversal + vector similarity)
- Interactive knowledge exploration dashboards
- Real-time graph updates and synchronization
Our Approach
We model your domain as a knowledge graph, extract entities and relationships from your documents, and build retrieval systems that can answer complex multi-hop questions.
Technologies
Python, Neo4j, LangChain, spaCy, OpenAI, GraphQL, React, D3.js
