incribo 0.1.2

Generate stateful embeddings for your AI

incribo

Incribo lets you add state to your embeddings. Using it, you can track how embeddings change over time, compare different embeddings to see their similarities and stream new data to update embeddings on the fly.

• Real-time Embedding Updates: Efficient handling of evolving, dynamic data.
• Compare embedding qualities: Compare different embeddings and evaluate their quality using customizable metrics.
• Versioning & Control: Create multiple versions of embeddings and track them over time with rollback abilities.
• Streaming data: Stream data from multiple sources.
• Cross-Platform Compatibility: Hassle-free hosted solution.

🔧 Quick install #Download the Python package pip install incribo

✨ Basic Usage Before we get started, it is advised to setup a virtual environment to work in. Next, add your embedding model and generate stateful embeddings with Incribo like so - from incribo import Embedding

Create a new embedding and add an associated model for better identification

emb = Embedding([1.0, 2.0, 3.0], "bert-base-uncased")

Get the vector

vector = emb.get_vector() print(f"Embedding vector: {vector}")

Get the model name

model = emb.get_model() print(f"Model: {model}")

print the Embedding object

print(emb)

📖 Documentation For detailed usage instructions and example use cases, visit our documentation at docs.incribo.com.

🌐 Contributing Drop us an email to report a bug, or request a feature here: [e-mail]

🤝 Connect with the founders 1:1 Connect with us here: https://cal.com/uma08/30min

💪 Community Join our growing community around the world, for help, ideas, and everything on AI and beyond:

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License This project is licensed under the Apache 2.0 License - see the LICENSE file for details.