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Kus

Kus (Knowledge Understanding & Summarization) is an external knowledge API that makes weak or local LLMs smart — it agentically searches trusted sources, learns, and answers with citations, blending public web knowledge with your own private documents.

Open Kus →
Why Kus

Make any model answer like a frontier model.

One API that searches trusted sources and answers with citations — turning weak or local LLMs into reliable ones.

Open Kus
kus · /v1/answer
POST /v1/answer
{ "query": "What is RAG?",
  "model": "local-llama" }
// → 200 OK
{ "answer": "Retrieval-Augmented…",
  "citations": [ "arxiv.org/abs/2005.11401",
               "…" ] }
Features

What you get

Cited, verifiable answers

Agentic retrieval searches trusted sources and returns citations you can check.

Brings in your own docs

Blend private documents with public web knowledge, isolated per API key.

Real accuracy uplift

Benchmarked to make weak and local models meaningfully more accurate.

Drop-in simple

One endpoint and a key — works next to any model, in any stack.

How it works

Three steps to get going

  1. 1

    Call one endpoint

    Send a question with your API key — works alongside any model you already use.

  2. 2

    Kus does the work

    It searches trusted sources, grows its knowledge base, and reranks for the best evidence.

  3. 3

    Get cited answers

    A grounded answer with citations, blending public web knowledge and your private docs.

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