Paste URLs, the AI Agent scrapes and embeds all content, and creates a semantic search engine powered by FAISS and Gemini. Ask questions across all pages simultaneously - like having a researcher who has read everything.
Example queries
Build a searchable AI knowledge base from any set of web URLs.
Step 1
User pastes a list of URLs (documentation, product pages, knowledge articles) and names the collection.
Step 2
AI Agent crawls each URL, extracting clean text, headings, and structured content - handling JavaScript-rendered pages.
Step 3
Content is split into semantic chunks, embedded using Gemini embeddings, and stored in a FAISS vector database.
Step 4
User asks a question in plain English. FAISS retrieves the most semantically relevant chunks from all stored pages.
Step 5
Gemini reads the retrieved context and synthesises a precise, cited answer from across all indexed pages.
Turn any set of URLs into an intelligent, queryable search engine
No manual data entry - auto-scrape and index at submission
Semantic search surfaces relevant content even with paraphrased queries
Works for docs sites, product catalogues, intranets, and knowledge bases
web source
vector search
cross-page retrieval
query response
We turned our entire product documentation into a searchable AI assistant in under an hour. Customers get precise answers without opening a single support ticket.
VP of Product
B2B SaaS company
There is no hard limit. You can index entire documentation sites, product catalogues, or enterprise intranets - any collection size is supported.
Yes. The scraping layer handles both static HTML and JavaScript-rendered pages, so modern React or Next.js documentation sites are fully supported.
Gemini embeddings power the vector search, so the system retrieves relevant content even when the query uses different phrasing from the source text - not just keyword matching.
Yes. URLs are grouped under custom collection names so you can maintain separate knowledge bases - for example, one for product docs and another for internal HR policies.
Re-submit any URL to re-index updated content. You can refresh individual pages or re-crawl an entire collection at any time.
Talk to our team and see this solution running on your data within days.