Every Source. One Knowledge Base.
Four powerful ingestion methods with vector embeddings and semantic search built-in.
Intelligent Web Ingestion
Enter any website URL and our intelligent extraction engine will process up to 1000 pages, extract clean content, and build your dataset automatically.
URL-Level Extraction
Paste specific URLs for targeted data extraction. Perfect for product pages, documentation, or curated content sources.
Document Upload
Upload PDFs, Word documents, and text files. Our advanced OCR and parsing engine extracts structured content with highest accuracy.
Raw Text Entry
Paste raw text, FAQs, or knowledge base articles directly. Supports Markdown formatting for structured data entry.
Vector Embeddings
All content is automatically chunked and embedded using cutting-edge AI models, then stored in a high-performance vector database.
Semantic Search
When users ask questions, the AI retrieves the most relevant chunks from your dataset using cosine similarity — not keyword matching.
Navigation Map
Every web spider extraction generates a visual navigation map showing all discovered URLs and their link relationships.
Content Preview
Preview extracted Markdown content, edit it inline, and review the navigation map before your chatbot goes live.
Real-Time Processing
Track dataset processing in real-time with live status updates — from extraction to embedding to completion.
Frequently Asked Questions
AIUniverse supports four ingestion methods: Web Spider (enter a URL and process up to 1000 pages), URL Extraction (paste specific URLs), Document Upload (PDFs, DOCX, TXT files), and Raw Text entry (paste content directly with Markdown support).
We use our proprietary intelligent extraction engine, which is one of the most accurate systems available. It strips navigation, ads, footers, and boilerplate HTML, leaving only the meaningful content. For complex dynamic sites, advanced stealth rendering ensures no content is missed.
Your content is chunked into semantically meaningful segments, converted to high-dimensional representations using cutting-edge AI models, and stored in an enterprise-grade vector database. When users ask questions, the AI retrieves the most relevant information with pinpoint precision.
Yes. After a dataset is processed, you can preview the full extracted Markdown content and edit it inline before deploying your chatbot. This lets you correct any extraction artifacts or add additional context.
Processing time depends on the data source. A 50-page website extraction typically completes in 60-90 seconds. Document uploads process even faster. You can track the real-time status of processing right from your dashboard.
Each dataset represents a single ingestion source. However, you can attach multiple datasets to a single workflow, effectively combining data from websites, documents, and raw text into one unified AI knowledge base.
Build Your First Dataset in Under 2 Minutes
Upload a document, paste a URL, or enter raw text. Your dataset is ready before you finish your coffee.