🚀 The Result: 200K Social Impressions and Viral Engagement
Our latest project just exploded on LinkedIn with 200K+ impressions, and for good reason. We built something that solves a real problem most companies face: their meeting notes are a goldmine of untapped knowledge, but nobody has time to manually organize them.
💡 The Problem
Most companies sit on an ocean of meeting notes scattered across Google Drive. Inside those documents are:
- Critical decisions that shape product direction
- Action items and task assignments
- Key relationships between people, projects, and initiatives
- Institutional knowledge that disappears when people leave
But here's the catch: these documents are constantly changing. Traditional data pipelines would reprocess everything from scratch every time, wasting compute and money on unchanged files.
⚡ The Solution: Incremental Processing with CocoIndex
We built an open-source pipeline that:
- Connects directly to Google Drive - no manual exports needed
- Only processes what changed - incremental LLM extraction means zero reprocessing of unchanged docs
- Builds a live knowledge graph - automatically extracts entities, relationships, and updates Neo4j in real-time
- Production-ready - fully open-sourced under Apache 2.0 license
🔧 How It Works
The pipeline continuously:
- Monitors your Google Drive for changes
- Uses LLM to extract structured data (people, decisions, tasks, relationships)
- Incrementally updates the knowledge graph - only changed documents get reprocessed
- Serves fresh insights through Neo4j queries
Tech Stack:
- CocoIndex - for incremental data processing
- Neo4j - for the knowledge graph
- LLM - for entity and relationship extraction
- Google Drive API - for document access
📚 Full Tutorial Available
We've published a complete step-by-step tutorial with:
- Full source code (Apache 2.0)
- Architecture explanations
- Setup instructions
- Real examples
🔗 Links:
- GitHub Repo: https://github.com/cocoindex-io/cocoindex (⭐ star it if you find it useful!)
- Tutorial: https://cocoindex.io/blogs/meeting-notes-graph
- Live Example: https://cocoindex.io/examples/meeting_notes_graph
🎯 Why This Matters
Incremental processing is the key differentiator here. Most pipelines are "dumb" - they reprocess everything even if only one document changed. That's:
- ❌ Expensive (LLM costs add up fast)
- ❌ Slow (unnecessary compute time)
- ❌ Wasteful (environmental impact)
With CocoIndex's incremental approach:
- ✅ Only pay for what changed
- ✅ Real-time updates
- ✅ Scales with your document library
🌟 Built With Open Source
This entire project is open source and production-ready. Whether you're a startup drowning in meeting notes or an enterprise looking to unlock institutional knowledge, you can deploy this today.
What could you build with a live knowledge graph of your company's meeting notes?
Drop your thoughts in the comments! And if you're working on similar problems, I'd love to hear about your approach. 👇
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