AI-Powered Knowledge
Base Assistant
Build intelligent chatbots that deliver accurate, contextual answers directly from your product documentation using Retrieval-Augmented Generation (RAG)

Easy Widget Embedding
Embed your chatbot widget seamlessly into any website with just a few lines of code. Fully customizable appearance, colors, and behavior to match your brand identity. Works on any website or platform without complex setup.
- Simple script tag integration
- Fully customizable colors and styling
- Works on any website or platform
- Per-user widget configuration
- Real-time customization preview
Copy and paste the embed code from your admin panel to add the chatbot to any website instantly. The widget automatically adapts to your configured settings, colors, and branding.


Website Content Scraper
Automatically scrape and extract content from websites with configurable depth. Clean text extraction removes all HTML tags, scripts, and navigation elements for clean content ingestion. Select specific pages and ingest them with custom titles.
- Configurable scraping depth
- Clean text extraction (no HTML tags)
- Preview all scraped pages individually
- Selective page ingestion with checkboxes
- Pagination for large scrapes
- Bulk ingest with custom titles
Easily import website content into your knowledge base by scraping pages and following links up to the configured depth. Select specific pages to ingest and organize them with custom titles. Perfect for documentation sites and knowledge bases.

Flexible AI Providers
Choose between OpenAI, Google Gemini, or local Ollama models for both LLMs and embeddings. Keep full control over your AI stack, costs, and data with complete flexibility.
- OpenAI GPT models support
- Google Gemini 2.5 Flash & Pro models
- Local Ollama models (Llama, Qwen, etc.)
- Per-user provider configuration
- Independent LLM and embedding selection
Each user can customize their own LLM and embedding providers independently. Mix and match OpenAI, Gemini, or Ollama for maximum flexibility.
RAG-Powered Accuracy
KnowledgeBase AI uses Retrieval-Augmented Generation to ensure responses are grounded in your actual documentation—no hallucinations, no generic answers. Get accurate, contextual responses every time.
- Vector search powered by embeddings
- Multiple LLM support (OpenAI, Gemini & Ollama)
- Effortless content management
Upload, organize, and manage your product documentation through a clean admin interface with fast and accurate vector search.

Key Features
Powerful features for intelligent chatbots
Build sophisticated AI chatbots with vector search, multiple LLM support, website scraping, embeddable widgets, and flexible configuration options.
Embeddable Widget
Easy-to-embed chatbot widget with full customization options for colors, messages, and branding
Website Content Scraper
Automatically scrape websites with configurable depth, clean text extraction, and selective page ingestion
Multiple LLM Support
Works with OpenAI GPT models, Google Gemini models, or local Ollama models (Llama 3.1, Qwen 3, etc.)
Flexible Embedding Options
Use OpenAI embeddings, Google Gemini embeddings, or local Ollama nomic-embed-text for on-premise processing
Vector Search
Semantic search powered by embeddings for highly accurate content retrieval.
Secure User Authentication
Built-in login and registration using Supabase Auth
Get started today
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