andresdelcampo/GPTYourData

This project is a simple but fast and effective C# vector search engine that utilizes OpenAI's GPT models for generating embeddings and answering questions based on local files.

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Emerging

This tool helps you quickly find answers to specific questions within your own collection of local text and PDF documents. You provide a folder of your documents, and it generates a searchable database. You then ask questions, and it returns relevant answers drawn directly from your files. Anyone who needs to quickly extract information from their own local document archives can use this.

No commits in the last 6 months.

Use this if you need to rapidly search and get answers from a large collection of your internal text or PDF documents without uploading them to an external service.

Not ideal if you need to search web pages, external databases, or if you prefer a graphical interface for document conversion and setup.

document-search information-retrieval knowledge-management local-data-query research-assistance
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 11 / 25

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Stars

12

Forks

2

Language

C#

License

MIT

Last pushed

Jul 01, 2023

Commits (30d)

0

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