Knowledge base for AI
A knowledge base for AI is a searchable store of your documents that an agent or app can query and get grounded, cited answers from. Kit for AI lets you build one in minutes — no RAG pipeline to assemble, no vector database to run.
Ingest any document
Drop in PDFs, Word, Excel, PowerPoint, HTML, URLs and scanned images. Kit for AI converts each to clean, token-efficient Markdown and attaches it to the knowledge base you choose — the whole ingest-to-attach flow is one step.
- PDF, Office, CSV, HTML and image/OCR conversion built in
- Attach documents to a knowledge base as you convert, or in bulk
- Include or exclude specific documents from answers at any time
Ask and get cited answers
Every answer is grounded in your documents and cites the exact source it came from. If a question isn't covered by your knowledge base, it says so instead of making something up.
- Hybrid search (vector + keyword) with reranking
- Answers only from your included documents — no hallucinated facts
- Query from the app, the REST API, or an MCP client
Private by default, cheaper by design
Answers run on our own local models, so your documents are never sent to a third-party LLM. And instead of paying per page parsed plus per token generated, you get the whole thing on one flat plan.
FAQ
- What is a knowledge base for AI?
- It's a searchable collection of your documents that an AI agent or app queries to answer questions with grounded, cited sources — the retrieval half of a RAG system, managed for you.
- How do I build one?
- Sign up, create a knowledge base, upload or convert your documents, and query it via the app, REST API, or MCP. No vector database or pipeline required.
- Is my data private?
- Yes. Kit for AI answers using local models, so your documents aren't sent to OpenAI, Anthropic, or any third-party LLM.
One toolkit for AI
Convert documents, build a knowledge base, remember, recall, run skills and search — from one API, on private models, starting free.
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