Skip to content

Case study / Web · AI & Automation

Insight Forge

Multimodal RAG Research & Citation Engine

1 / 3

This project highlights your ability to combine complex AI orchestration with a high-end user experience. Using your background in RAG systems and LLM integration, here is the case study for InsightForge.

1. The Challenge:

  • Information Overload – Users struggle to digest long-form content like YouTube videos, PDFs, and deep-dive blogs efficiently.
  • Lack of Verification – Standard AI summaries often lack cross-referencing, leading to potential hallucinations or one-sided perspectives.
  • Content Friction – Transforming researched insights into shareable social content (like Twitter threads) is usually a manual, time-consuming process.
  • Static UX – Many AI tools feel "slow" because users have to wait for the entire response to generate before reading.

2. How We Managed It:

We engineered a sophisticated AI engine that prioritizes real-time data processing and cross-source validation.

  • Multimodal RAG Pipeline – Built a system capable of parsing diverse data types (Web, Video, PDF) into a unified vector space for conversational querying.
  • "Nuclear Mode" Orchestration – Developed a custom agentic workflow that autonomously identifies and fetches 3–5 additional high-authority sources to validate information or highlight conflicting data points.
  • Dynamic Persona Switching – Implemented logic-gated prompting that allows users to toggle between "ELI5" (simplicity) and "Expert Mode" (technical depth) instantly.
  • Streaming Architecture with Real-Time Citations – Leveraged server-sent events (SSE) to provide live-streaming answers, ensuring transparency by displaying source citations as the AI generates its response.
  • Automated Content Repurposing – Created a one-click transformation engine that parses the AI's research into formatted, engagement-ready Twitter/X threads.

3. The Results:

  • Instant Synthesis – Users can consume hours of video or hundreds of pages of text in seconds through a conversational interface.
  • Higher Fact-Check Confidence – "Nuclear Mode" provides an enterprise-grade verification layer, showing exactly where sources align or diverge.
  • Streamlined Content Creation – Reduced the time to create high-quality social media threads from 30+ minutes to a single click.
  • Seamless Performance – Real-time streaming and citations provide a highly responsive, "Perplexity-style" UX that builds user trust.

4. In a Nutshell:

The client (or user) faced massive friction in researching and verifying information from scattered sources. We built InsightForge, a multimodal AI engine that synthesizes content with real-time citations and automated cross-referencing, giving users a "Nuclear" advantage in both research and content creation.


Website Link:

https://insight-forge.coderesults.tech/

Gallery · 3 images

Need something similar built?

Hire me for Full-Stack Web Development

Hire Rafay Khan, a full-stack developer who builds production web platforms with Next.js, React, Node.js and PostgreSQL — from architecture to launch and beyond.

More work

→ — What's next

Got an idea?
Let's ship it.

Tell me what you're building. No sales team, no hand-offs — just the engineer who'll build it.

Rafay KhanRafay KhanYou'll talk to me directly
—in Lahore · UTC+5
Replies in a few hoursUsually around now