AI & RAG-Native
Knowledge Graph Studio
The future of AI is developers and domain experts injecting structured context and determinism into their AI & RAG pipelines, so you can build accurate, and explainable Agentic & RAG solutions.
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Knowledge Graphs for RAG and Agentic Memory
Structure your data and answers
- Structured knowledge grounding to reduce wrong answers
- Collect the information you want
Deterministic Information Retrieval
- Tie Chunk Access Rules to specific questions / scenarios
Multi-KG management
- Manage schemas for each of your use cases
- Create workflows for automatically building and updating KGs with your data
The WhyHow developer advantage
WhyHow is a platform for building and managing knowledge graphs to support complex data retrieval. We give developers the building blocks they need to organize, contextualize, and reliably retrieve unstructured data to perform complex RAG.
Integrate WhyHow directly into your existing RAG pipelines to bring structure, consistency, and control to your AI solutions
Maximizing Accuracy with Knowledge Graphs
By implementing knowledge graphs, you unlock powerful benefits for your RAG systems.
Manage Small-KGs
Modern use cases demand many small, specialized KGs. We give you the tools you need to easily build, integrate, and manage as many graphs as you need.
Rule Sets
Build guardrails for data retrieval, ensuring RAG systems operate as expected and users access only the data they’re supposed to see.
Deterministic Workflows
Build and manage highly customizable graph-based retrieval workflows to ensure consistent execution of complex, multi-hop queries.
Graph Creation from your Opinion
Create a schema based on what you want to see captured and saved in a Knowledge Graph for more deterministic referencing
Modern APIs
We offer robust APIs and simple SDKs to enable modern developer workflows. Implement WhyHow directly into your existing pipelines.
client = Client()
client.upload_documents()
client.create_graph()
Hybrid: Graphs & Vectors
We embrace a hybrid approach that enables developers to leverage the best of both knowledge graphs and vector databases.
Create knowledge graphs from your own data.
With WhyHow, developers can automatically create knowledge graphs and integrate with their existing workflows. No need to learn new languages. Query, explore, and modify graph data using developer friendly SDKs.
Add rules to your RAG to control retrieval.
Customize your retrieval workflows to control the data being sent to your RAG pipelines. Use rules to bring stronger determinism to your RAG solutions.
Get your RAG systems to production with graph structures.
Contact us today for more information and to get into our closed Beta program