kor 0.2.0

Extract information with LLMs from text

⚠ WARNING: Prototype with unstable API. 🚧

Kor

This is a half-baked prototype that "helps" you extract structured data from text using LLMs 🧩.

Specify the schema of what should be extracted and provide some examples.

Kor will generate a prompt, send it to the specified LLM and parse out the output. You might even get results back.

See documentation.

💡 Ideas

Ideas of some things that could be done with Kor.

• Extract data from text: Define what information should be extracted from a segment
• Convert an HTML form into a Kor form and allow the user to fill it out using natural language. (Convert HTML forms -> API? Or not.)
• Add some skills to an AI assistant

🚧 Prototype

This a prototype and the API is not expected to be stable as it hasn't been tested against real world examples.

✨ does Kor excel at? 🌟

• Making mistakes! Plenty of them. Quality varies with the underlying language model, the quality of the prompt, and the number of bugs in the adapter code.
• Slow! It uses large prompts with examples, and works best with the larger slower LLMs.
• Crashing for long enough pieces of text! Context length window could become limiting when working with large forms or long text inputs.
• Incorrectly grouping results (see documentation section on objects).

Potential Changes

• Adding validators
• Built-in components to quickly assemble schema with examples
• Add routing layer to select appropriate extraction schema for a use case when many schema exist

🎶 Why the name?

Fast to type and sufficiently unique.