Build a governed path from source material to production workflows.

Grounded RetrievalHybrid search, quality scoring, and retrieval optimization.Agents & WorkflowsRun cited agents, feeds, and pipelines through the console or SDKs.Knowledge OperationsIngest documents, sync sources, keep knowledge indexed.Trust & GovernanceCitations, audit trails, and scoped access.

Apply grounded retrieval to the work your teams already do.

Classification & ExtractionAuto-tag, extract entities, and structure messy documents.Internal Knowledge SearchGrounded Q&A over current domain-specific content.Compliance ReviewTrace policy and regulatory findings back to source evidence.Research WorkflowsCompress document-heavy research into cited, reviewable outputs.

Start in the console, then ship through the API or SDKs.

Developer overviewAPIs, SDKs, examples, and deployment paths.DocsGetting-started guides, API reference, and framework documentation.Python SDKOfficial Python client for collections, retrieval, ingestion, and operations.TypeScript SDKOfficial Node and TypeScript client for corpora, search, agents, feeds, and A2A.ExamplesRunnable SDK, LangChain, and LlamaIndex starting points.K² Retrieval StackDense, sparse, and reranker components aligned to operational relevance.

Methods, evidence, and field notes from the retrieval stack.

Retrieval whitepaperMeasured results across domain-specific corpora.BlogProduct notes and practical retrieval research.About Knowledge²The team and the operating thesis.

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Share your data, workflow, deployment requirements, and success criteria. We will scope a validation path from grounded retrieval to a production-ready workflow.

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What happens next?

We review your use case and success criteria
We propose a validation plan tailored to your data
You evaluate a scoped workflow on your own corpus

Knowledge²

The knowledge and governance layer for production AI.