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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.
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!
About CapybaraDB Beta on Product Hunt
“Semantic search made easy”
CapybaraDB Beta was submitted on Product Hunt and earned 114 upvotes and 36 comments, placing #9 on the daily leaderboard. 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.
On the analytics side, CapybaraDB Beta competes within SaaS, Artificial Intelligence and Database — topics that collectively have 511k followers on Product Hunt. The dashboard above tracks how CapybaraDB Beta performed against the three products that launched closest to it on the same day.
Who hunted CapybaraDB Beta?
CapybaraDB Beta was hunted by Tomo Kanazawa. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Tomo Kanazawa
Hello, Product Hunt! I'm Tomo, and I'm the co-founder of CapybaraDB. I'm excited to share our product today!
🙋🏻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:
Simply wrapping the "pic" and "bio" fields makes them semantically searchable 🔥
Would love to have your feedback!
Happy building!