Grounded By Design
Responses are built from retrieved context first, then streamed with citations.
AI-native document workspace
Your documents
should answer back.
Contexta.ai turns static PDFs into a modern AI interface with fast retrieval, streaming responses, and citations users can verify.
Fast Enough To Feel Native
Groq inference keeps the interaction immediate instead of feeling like a batch job.
Private By Default
Supabase auth and RLS isolate every user corpus and session without extra glue.
Live Session
Refund Policy QA
Question
Which pages define annual refund exceptions?
Answer
Annual plans are refundable within 14 days if usage credits were not consumed.
Sources
Policy-v2.pdf p.14 • Terms-2025.pdf p.7
Retrieval
pgvector similarity search
Generation
Groq-backed streaming
Privacy
Per-user data isolation
Product
The interface is designed like a product, not a demo.
Conversation-native workspace
A clean AI experience for long-running document sessions.
Session Memory
Chat history persists and stays tied to the document corpus so context keeps building.
Source Fidelity
Citations are part of the UX, not an afterthought bolted onto the response.
Modular backend
Service and repository layers keep ingestion, retrieval, and chat logic clean and scalable.
Document-native UX
The app is built around PDFs, chunks, pages, and sessions rather than generic prompt boxes.
Workflow
Three steps from raw files to useful answers.
01
Upload
Drop in PDFs and let the ingestion pipeline parse, chunk, and prepare the content.
02
Index
Embeddings are generated and stored in pgvector so retrieval stays fast and relevant.
03
Ask
Users chat with their documents and get cited answers with streaming responses.
About
Built for teams that care about trust, speed, and clarity.
Contexta AI is for companies that want a modern AI surface over their own documents without sacrificing grounding, auditability, or user experience.
Why It Lands
- AI answers grounded in your own materials
- Fast streaming UX instead of long blocking waits
- Clean production architecture under the hood
- Private user workspaces by default
Starter
Free
For solo use, evaluation, and internal prototyping.
- PDF upload + RAG chat
- Streaming responses
- Source citations
Scale
Custom
For teams with higher traffic, governance, and workflow requirements.
- Multi-workspace operations
- Usage analytics and controls
- Priority support
FAQ
What makes Contexta AI different from a normal chatbot?
It is built around retrieval. Answers are constrained by your uploaded documents and cite source pages.
Can I use it for team or client workspaces?
Yes. The architecture is multi-user and designed for isolated document sets and persistent chat history.
Can providers be swapped later?
Yes. The app uses an abstracted provider layer for generation and embeddings.
Is the landing page and app responsive?
Yes. The public site and product UI are designed to work across desktop, tablet, and mobile.
Build an AI product your users will actually trust.
Start from your existing documents and ship a premium RAG experience with citations, persistence, and real product polish.