ENTERPRISE RAG PLATFORM

Where websites meet intelligence.

LinkIntelligence turns any URL into a private, searchable knowledge base. A Retrieval-Augmented Generation engine that answers only from your data — every response grounded in citations, not guesswork.

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How it works

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 Pinecone vector store — one namespace per session.

4

Chat

RAG pipeline retrieves context and generates answers with source citations.

100+
Pages per crawl
<60s
Average build time
3072
Embedding dimensions
4
Source citations per answer

Built for

Teams drowning in their own content.

Anywhere knowledge lives on a website but answers are hard to find.

SaaS companies Documentation portals Universities Research organizations Enterprise knowledge bases Government agencies Developer docs Startups

Use cases

One engine. Many front doors.

The same grounded-retrieval pipeline, pointed wherever your users ask questions.

Support automationDeflect tickets with answers pulled straight from your help center.
Documentation assistantLet developers ask questions instead of grepping through docs.
Internal knowledge baseTurn scattered intranet pages into one searchable brain.
University assistantAnswer prospective-student questions from your own site content.
Research repository searchRetrieve across papers and reports with source-anchored citations.
Website AI assistantA chat layer that only speaks from what your site actually says.

Built with

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 extraction, optional JS rendering fallback
Google GeminiLLM + 3072-dim embeddings via REST
Pinecone Vector DBCloud vector store, one namespace per session
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

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 Pinecone for scalable vector search, with hybrid retrieval (semantic + BM25) for higher recall. This integration guarantees fast, source-cited responses directly anchored to the target URL's truth — minimizing hallucination.