Deploy a custom AI trained on your website in minutes.
LargeChat crawls your site, follows important files, builds a searchable knowledge base, and answers with citations your users can verify.
The machinery behind a bot that works out of the box.
The design is quiet, but the pipeline is not. Crawl coverage, retrieval scoring, branding, and citations all work together.
Website training that keeps digging
Crawl pages, PDFs, calendars, linked files, image-only buttons, and common sitemap patterns without asking customers to configure every edge case.
PDFs and pages in one answer
Uniform policies, handbooks, calendars, agendas, and ordinary web pages are chunked into one retrievable knowledge base.
Hybrid retrieval by default
Semantic search, keyword matches, title boosts, FAQ matches, recency, and source priority combine before the answer is generated.
Strict citation mode
Answers cite the source blocks they came from and fall back when the retrieved context is not strong enough.
Debuggable from day one
See retrieved chunks, component scores, fallback reasons, crawl errors, and unanswered questions in a single product workflow.
Auto-branded widgets
Pull favicon, logo, theme color, and chat palette from the source website so new bots look native out of the box.
Three steps. No services team required.
Create
Enter a website URL. LargeChat creates the bot, detects branding, and prepares the crawler.
- Logo and colors
- Default prompt
- Domain-ready widget
Train
The crawler collects the useful pages and files, chunks content, embeds it, and records training diagnostics.
- Pages, PDFs, events
- Duplicate handling
- Structured facts
Answer
The bot retrieves the best context, answers with citations, and shows what was used when you debug it.
- Hybrid retrieval
- Cited responses
- Fallback when unsure
Every answer, cited.
Inline source pills make the answer auditable. The retrieval debugger shows the exact chunks and component scores behind each response.
Start simple. Scale when traffic arrives.
Plans are based on bots, message credits, and training capacity.
Free
01For testing a single bot.
- 1 bot
- 50 message credits
- 10 training links
- Embed on unlimited sites
- LargeChat branding
Hobby
02For a real website with steady traffic.
- 1 bot
- 1,500 message credits
- Unlimited training links
- Advanced models
- Basic analytics
- API access
Enterprise
03For teams that need limits, controls, and support.
- Higher limits
- Priority support
- SLA options
- Custom integrations
- Dedicated account support
Questions, answered.
LargeChat centers on a clean RAG workflow: train, retrieve, answer, inspect.
Start with one source-grounded bot. Add sources, tune retrieval settings, and adjust the prompt as you learn what users ask.
Training means crawling, parsing, cleaning, chunking, embedding, indexing, and testing retrieval. The LLM is not fine-tuned for ordinary website knowledge.
Yes. Linked PDFs and website pages are indexed together, so a question can be answered from the most specific source available.
The crawler extracts useful alt text, image filenames, and linked pages, then follows important image-only links such as app announcements or policy buttons.
Use the retrieval playground and training diagnostics to inspect crawl errors, skipped pages, retrieval scores, and the final context sent to the model.