Models are now a commodity. The real differentiator for AI applications is how effectively they use their data. However, building robust data systems can be both complex and time-consuming.
Chonkie fixes this. They make it easy to bring high-quality data ingestion and context-building to your AI projects, ensuring your application is accurate, fast, and cost-efficient.
They are open source on GitHub! (Python, TypeScript). Leave them a ⭐!
Most AI products today don’t fail because of the model. They fail because they’re fed disorganized, bloated, or incomplete data. The results in wrong answers, slow performance, and expensive bills. There are some existing tools that try to address this, however they are either:
🔻 Too slow or bloated
🧱 Too barebones — feels like reinventing the wheel every time
So they built Chonkie — fast, lightweight, and comprehensive.
Chonkie + Your Amazing AI Application =
🎯 More accurate result
⚡ Faster response times
💸 Lower token usage
🔧 What Can Chonkie Do?
Chonkie handles the full data ingestion pipeline for AI projects:
📄Bring Any Document: All formats welcome
🍳Clean It with Their Chefs: Normalize and prep your data
🧩Chunk It: Break documents into meaningful pieces
🛠️Refine Your Chunks: Add context, metadata, or convert to embeddings
🔌Connect Anywhere: Integrate with any database and fetch your chunks with ease
🎥 See It in Action
See how Chonkie splits your data, reduces token costs by over 75%, and generates citations automatically!
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