From a URL to a trained AI
in five steps.
Behind the scenes Veldora runs a production RAG pipeline — crawling, chunking, embedding, indexing, and serving — all multi-tenant and observable.
From a URL to a trained AI
in five steps.
Every step of the RAG pipeline is automated, observable, and tenant-isolated — so you stay focused on customers, not plumbing.
- 1Step 01
Create your account
Sign up in seconds and land on a dashboard built for AI operators — not a help desk.
- 2Step 02
Add your website
Paste a URL. Veldora discovers your sitemap, docs, blog, and product pages automatically.
- 3Step 03
AI scrapes & cleans
Workers extract real content, strip noise, and chunk text into retrieval-ready passages.
- 4Step 04
Knowledge base trains
Embeddings are generated and indexed in a vector store — fully tenant-isolated.
- 5Step 05
Deploy your chatbot
Embed a script, share a link, or hit the API. Your AI is live and grounded in your data.
Under the hood
Three pillars make Veldora more accurate, faster, and safer than rolling your own AI stack.
Hybrid retrieval
Combines dense vector similarity with lexical BM25 so rare terms (product names, SKUs, error codes) aren’t lost. Re-ranks the top candidates with a lightweight cross-encoder.
Grounded generation
Prompts include retrieved chunks with explicit source citations. The model is instructed to refuse questions it cannot ground — dramatically reducing hallucinations.
Continuous learning
Schedule re-crawls or trigger them on deploy. Veldora diffs your content, only re-embeds what changed, and hot-swaps the index with no downtime.
Turn your website into your smartest team member.
Start free. Train an AI assistant on your real content. Deploy a grounded, on-brand chatbot to your customers today.
Free plan · No credit card required · Setup in under 5 minutes