Build a RAG Chatbot
from your Documents
Upload PDFs, TXTs, or paste your website URL. Contextly automatically splits, chunks, and indexes your document's knowledge to power an intelligent chatbot you can embed anywhere.
200,000 free tokens. No credit card required.
How to create a custom AI assistant
The fastest way to deploy a Retrieval-Augmented Generation (RAG) system without managing vector databases or LLM pipelines.
1. Upload your Knowledge
Drag and drop business documents, manuals, whitepapers (PDF, TXT, DOCX) or simply paste links to your website or Help Center.
2. Contextly Indexes
Our semantic ingestion engine automatically cleans, chunks, and creates vector embeddings of your data in a secure, isolated tenant.
3. Embed the Widget
Copy our lightweight script tag or use our React package. Drop it into any site, test the responses, and let users chat with your data instantly.
Everything you need for production RAG
Stop worrying about API rate limits, database connections, and layout code. Contextly wraps everything up.
Multi-Format Support
Accepts unstructured PDF files, Word docs, Markdown files, or raw text. We handle the parsing logic behind the scenes.
Website Scraping
Want to build a chatbot using your public blog or documentation? Just paste the sitemap or root URL.
Highly Accurate Retrieval
Advanced hybrid search and reranking ensure the AI responds with pinpoint relevance and minimizes hallucination.
Plug & Play UI
Includes a modern, responsive chat interface straight out of the box with zero CSS configuration needed.
Based on the uploaded Developer Docs:
You can invite team members by making a POST request to /api/v1/team/invite.
Ready to chat with your own data?
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