DocuBot: your documents
Upload files or whole folders: PDF, Word, Excel, CSV, TXT and Markdown.
Project · Own product
A chatbot that answers with your information and shows where it came from.
Two platforms on the same foundation: DocuBot builds a chatbot from your documents and Sitebot from your website. Both index the content, answer citing their sources and give you a snippet to add the chat to any page.
What it does
Key features.
Generic chatbots make things up. To be useful in a company, an assistant has to answer with that company's information (manuals, policies, catalogs or website content) and show where the answer came from.
Sitebot: your website
Crawls the site via robots.txt, the sitemap or internal links, and turns each page into text.
Answers with sources
Every answer shows which document or page the information came from.
Embeddable chat
A snippet to add the chat to any site, restricted to authorized domains.
Incremental updates
When re-uploading or re-crawling, only what changed gets reprocessed.
Management dashboard
Collections or sites, settings and limits from a dashboard with login.
Under the hood
The technical challenges.
RAG on pgvector
Semantic search in PostgreSQL with pgvector: the model answers only from the most relevant chunks.
Local embeddings
Multilingual embeddings are computed on the server itself, with no dependency on an external provider.
Background processing
Each file is processed in a queue (BullMQ) and answers are streamed.
Security
JWT authentication, widget origin validation, rate limiting and SSRF protection in the crawler.
Stack
What it's built with.
NestJSNext.jsTypeScriptPostgreSQLpgvectorDrizzle ORMBullMQPlaywrightDocker
- Type
- Own product
- Status
- Own product, working.
- Website
- —
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Let's talk
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