Palantir technologies inc. (20240354436). DATA PERMISSIONED LANGUAGE MODEL DOCUMENT SEARCH simplified abstract

DATA PERMISSIONED LANGUAGE MODEL DOCUMENT SEARCH

Organization Name

palantir technologies inc.

Inventor(s)

Anirvan Mukherjee of Brooklyn NY (US)

Craig De Souza of Jersey City NY (US)

Edgar Gomes De Araujo of Sao Paulo (BR)

Johannes Beil of Copenhagen (DK)

Jessica Winssinger of New York NY (US)

Michael Zullo of Scarsdale NY (US)

Rushad Heerjee of New York NY (US)

Shubhankar Sachdev of New York NY (US)

DATA PERMISSIONED LANGUAGE MODEL DOCUMENT SEARCH - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240354436 titled 'DATA PERMISSIONED LANGUAGE MODEL DOCUMENT SEARCH

The abstract of the patent application describes computer-implemented systems and methods that utilize language models for searching a large corpus of data.

• Receiving a natural language query from a user
• Vectorizing the user input into a query vector
• Executing a similarity search in a document search model to identify similar document portions
• Generating a prompt for a large language model (LLM) based on the user input and similar document portions
• Transmitting the prompt to the LLM and receiving an output
• Providing the LLM output via a user interface

Potential Applications: - Information retrieval systems - Natural language processing tools - Search engines

Problems Solved: - Efficiently searching and retrieving information from a large corpus of data - Enhancing user experience by providing relevant and accurate search results

Benefits: - Improved search accuracy - Faster information retrieval - Enhanced user interaction with language models

Commercial Applications: Title: Enhanced Information Retrieval System This technology can be used in search engines, content management systems, and data analytics platforms to improve search capabilities and user experience. It can also be integrated into virtual assistants and chatbots for more effective communication.

Questions about the technology: 1. How does this technology improve search accuracy compared to traditional methods? 2. What are the potential limitations of using language models for information retrieval?

Original Abstract Submitted

computer-implemented systems and methods are disclosed, including systems and methods utilizing language models for searching a large corpus of data. a computer-implemented method may include: receiving a first user input comprising a natural language query; vectorizing the first user input into a query vector; executing, using the query vector, a similarity search in a document search model to identify one or more similar document portions, where the document search model includes a plurality of vectors corresponding to a plurality of portions of a set of documents; generating a first prompt for a large language model (“llm”), the first prompt including at least the first user input, and the one or more similar document portions; transmitting the first prompt to the llm; receiving a first output from the llm in response to the first prompt; and providing, via a user interface, the first output from the llm.