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CapybaraDB Beta

Semantic search made easy

CapybaraDB is a high-level database for AI applications that automates data management asynchronously. It is built on robust, proven technologies, including MongoDB, Pinecone, and AWS S3.

Top comment

Hello, Product Hunt! I'm Tomo, and I'm the co-founder of CapybaraDB. I'm excited to share our product today!

💨TL;DR:
CapybaraDB (Mongo × Pinecone) makes AI app development 10X faster.


🙋🏻What is CapybaraDB?

  • Built on Top of MongoDB and Pinecone: Leverages robust underlying technologies.

  • High-Level Data Management Abstraction: Simplifies complex data operations.

  • Multi-Modal Support: Natively handles text, images, videos, audio, websites, and more.

  • Robust Semantic Search Automation: Delivers precise, context-aware search capabilities.

  • Asynchronous Processing: Embedding processes run in the background so the client isn’t left waiting.

💻Introducing EmbJSON – CapybaraDB Extended JSON:
EmbJSON lets you perform semantic searches on ANY field in your JSON document without needing a semantic index. No embedding, chunking, or media-to-text processing is required.

🧑🏻‍💻Example EmbJSON Usage:

# Semantically retrievable user profiles

users = [{ 
"firstName": "Alice", 
"pic": EmbImage(base64_image_data), # Raw image data
"bio": EmbText("Explorer of curious places. And she ...") # long text data
}]

collection.insert(users)

Simply wrapping the "pic" and "bio" fields makes them semantically searchable 🔥

Would love to have your feedback!
Happy building!