An AI application leverages NLP, OpenAI API and LangChain to allow users to flexibly query informations about multiple PDF files.
Demo.mov
- Python
- LangChain
- OpenAI API
- htmlTemplates
- Streamlit
- Get texts from all the PDF documents
- Split texts into chunks
- Create embeddings of the text chunks
- Store the embeddings with a vector store
- Embed user inputs
- Implement semantic search in vector store
- Generate the answer with llms
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Customer Support and FAQs
Customers can ask questions about shipping, returns, warranties, or other policies, and the app can provide clear and concise answers.
This helps customers quickly find the information they need without having to search through lengthy policy documents.
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Research and Study Assistance
Students, researchers, or professionals working on a project can interact with the app to gain insights from multiple PDFs.
This helps users quickly identify the useful materials for their study or research topics.
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Business Intelligence and Data Mining
Companies can use the app to extract valuable insights from their PDF-based reports, documents, or market research.
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Manyu Zhang (zhangmanyuzmy@gmail.com)