THE NATIVE KNOWLEDGE ENGINE

Turn any website into a private AI expert.

One platform to crawl, extract, and index any URL. Chat with an AI that only answers from your data, complete with citations.

View Source

Four steps. One click.

From raw website to AI-powered Q&A in under a minute.

1

Crawl

BFS crawler maps every page within domain boundaries. Respects robots.txt.

2

Extract

Each page is cleaned into structured JSON — junk HTML stripped, content preserved.

3

Index

Text chunked and embedded via Gemini into a local FAISS vector store.

4

Chat

RAG pipeline retrieves context and generates answers with source citations.

100+
Pages per crawl
<60s
Average build time
100%
Local processing
4
Source citations per answer

Production-grade stack.

Every layer chosen for speed, reliability, and zero vendor lock-in.

FastAPI + UvicornAsync Python backend with auto-docs
BFS CrawlerDomain-scoped with robots.txt compliance
BeautifulSoup + PlaywrightStatic + JS rendering fallback
Google GeminiLLM + embeddings via LangChain
FAISS Vector IndexSub-millisecond similarity search
Firebase AuthGoogle + email/password sign-in
Ask AI
Build a knowledge base above, then ask me anything.
Extracted data will appear here in real-time.

Sadiq Mansoor

Staff AI Engineer & Full-Stack Developer

Building autonomous agents and scalable RAG (Retrieval-Augmented Generation) pipelines. Focused on minimalist, zero-config architectures that turn the open web into actionable machine intelligence.

The Vision

LinkIntelligence was built to solve the frustration of manually compiling AI context. Rather than pasting documentation, this engine natively interfaces with the web, performing scalable Breadth-First Search (BFS) crawling to automatically construct structured vector memory.

System Architecture

Powered by Google Gemini for logic and FAISS for sub-millisecond similarity search. This integration guarantees hyper-fast, source-cited responses directly anchored to the target URL's truth — ensuring zero hallucination.