Ragable indexes your PDFs, manuals, policies and FAQs into searchable knowledge bases, then answers questions from them and cites the source. Deploy it as a JavaScript widget, inside your app, or on your own infrastructure.
Ragable handles ingestion, retrieval and grounded generation, so what you ship is a chatbot that answers from your sources instead of another demo.
Bring in PDFs, documents, spreadsheets, manuals, policies, FAQs and internal files. Ragable indexes them into searchable knowledge bases, scanned pages included.
Pick a knowledge base, set the behaviour, choose the AI model, decide which tools it may use and set the limits it runs under.
Embed the chatbot with one line of JavaScript, call it from your application, or run conversations straight from the Ragable panel.
Start on SaaS, then move to private cloud or on-premise infrastructure when security, compliance or integration requirements grow.
Start on SaaS in an afternoon. Move to private or on-premise infrastructure when your security, scale or integration needs grow, without rewriting your assistant.
For growing teams that want a grounded assistant in front of users this week, not next quarter.
For organizations with stricter requirements: private clouds, isolated infra, custom models, and security review.
Ingestion, retrieval, orchestration and the interface on top, built for teams that need answers tied to real sources.
Create multiple knowledge bases per team, product, client, or internal process.
Index popular document types and turn static files into searchable, AI-ready context.
Retrieve the right passages first, generate second, so every answer stays tied to your real content.
Add a production-ready chatbot to any site or app with a single JavaScript snippet.
Manage assistants, knowledge bases, sessions, and conversations from one clean dashboard.
Use leading cloud models today, swap to custom or self-hosted providers tomorrow.
On-premise, private cloud, isolated environments, and security review on request.
Control cost and risk with plan-based limits for sessions, tokens and usage volume.
RAG fits anywhere people currently search through documents. They ask a question instead, and get a grounded answer with its sources.
Answer customer questions from your documentation, FAQs, policies and product manuals, with a citation to the page each answer came from.
Learn moreHelp employees find answers across procedures, onboarding, HR documents, and tribal company knowledge.
Learn moreLet users ask natural-language questions about technical docs, API guides, and product manuals.
Learn moreGive prospects instant answers from offer documents, pricing rules, case studies and product information.
Learn moreBuild secure AI assistants for legal, operational, compliance, and knowledge-heavy internal processes.
Learn moreWire RAG into runbooks, dashboards, and SOPs so your operators stop hunting through wikis at 3 AM.
Learn moreA general assistant answers from model training data. Ragable retrieves from the documents you indexed first and generates second, so answers stay tied to sources you control and can correct.
Switch tabs to see what your team works in: knowledge bases, bot builder, live chat preview, the embed snippet, and usage analytics.
Three SaaS plans cover most teams. Enterprise runs on a separate track: own deployment, own models, own terms.
For small teams and first production deploys.
Higher traffic, multiple bots, conversation history.
Production-grade for larger teams and applications.
Private cloud, on-premise, or custom infrastructure.
Not sure which plan fits? Talk to us and we will size it with you.
All limits are reset monthly · Overage billed transparentlyFor organisations with strict security, data control, integration or compliance requirements, Ragable is adapted to private cloud, isolated infrastructure or on-premise deployment.
A short version of our full FAQ. For pricing edge cases, enterprise specifics or security questionnaires, talk to us.
Ragable is a RAG platform for building AI assistants that answer questions from your own documents and knowledge bases, and cite the source each answer came from.
Not for the basics. You upload documents, configure an assistant in the panel, and embed it with a single JavaScript snippet. Enterprise work such as custom data pipelines, SSO or on-premise deployment usually needs a developer.
Yes. Ragable generates a chatbot widget you embed in any website or web app with one line of JavaScript. You can restrict allowed domains and theme the widget per surface.
Ragable indexes PDF, DOCX, Markdown, HTML, plain text and spreadsheets. Scanned PDFs go through OCR, so paper documents become searchable too.
Yes. Enterprise deployments run on your private cloud or on-premise infrastructure, with your data residency, a security review and hands-on implementation support.
No. Leading cloud models work out of the box, and enterprise deployments can use open-source, self-hosted or your own model providers.
Every SaaS plan includes monthly limits for sessions, tokens, knowledge bases and assistants. The pricing table lists the current values and overage is billed transparently.
Ragable retrieves relevant passages from your knowledge base before the model writes anything, and shows the sources behind each answer. That does not make hallucinations impossible, but it ties answers to retrieved context and lets a reader verify them.
Self-serve from $99/month, or talk to our team about private and on-premise deployment.