FullStackWithLawrence/openai-embeddings
OpenAI chatGPT hybrid search and retrieval augmented generation
This project helps researchers, academics, or business analysts extract specific answers from large collections of PDF documents using natural language questions. You input your PDF documents and a question, and it provides precise, contextually relevant answers by first finding the most pertinent sections in your documents before generating a response. This is ideal for anyone needing to quickly find specific information within a substantial body of text, like lecture notes or research papers.
Use this if you need to ask specific questions about content within many PDF documents and receive answers that are directly informed by those documents, rather than just general knowledge.
Not ideal if you only need general information that isn't tied to specific documents or if you don't work with PDF files as your primary information source.
Stars
16
Forks
4
Language
Python
License
AGPL-3.0
Category
Last pushed
Mar 01, 2026
Commits (30d)
0
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