The future of AI is about empowering developers and domain experts to incorporate structured context and precision into their AI and RAG pipelines, enabling the creation of accurate, transparent Agentic & RAG solutions.
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Grounding knowledge to minimize inaccuracies.
Curate the precise information you seek.
Link Data Chunk Access Rules to Specific Queries or Use Cases.
Achieve reliable, tailored data retrieval with our advanced tools.
Customize Schemas for Specific Use Cases.
Develop Automated Processes for Constructing and Refreshing Knowledge Graphs.
ConverseQuery is a platform for creating and managing knowledge graphs to enhance complex data retrieval.
We provide developers with the essential tools to organize, contextualize,and accurately retrieve
unstructured data for advanced RAG (retrieval-augmented generation).
Seamlessly incorporate ConverseQuery into your RAG pipelines to add structure,
consistency, and enhanced control to your AI solutions.
Utilizing knowledge graphs unleashes significant
benefits for your RAG systems.
Modern use cases require numerous small, specialized knowledge graphs. We provide the tools to easily create, integrate, and manage all the graphs you need.
Create guardrails for data retrieval to ensure RAG systems function correctly and users access only the intended data.
Create and oversee highly customizable graph-based retrieval workflows to ensure reliable execution of complex, multi-hop queries.
ConverseQuery allows developers to seamlessly generate and integrate graphs within their current workflows, making it easy to query, explore, and adjust graph data without the need to learn new languages.
Ready to ConverseQuery ?