sienlonglim/LangChain
This project implements RAG using OpenAI's embedding models and LangChain's Python library
This project helps you quickly get answers from your own collection of documents, videos, and web pages without needing to manually search through them. You provide various file types like PDFs, Word documents, text files, YouTube links, or Wikipedia pages, and it allows you to ask questions to get concise, relevant answers. This is ideal for researchers, analysts, or anyone who needs to extract specific information from a large, diverse set of content.
No commits in the last 6 months.
Use this if you need to rapidly query diverse content like documents, YouTube videos, or Wikipedia to find specific information without reading through everything.
Not ideal if you're looking for a simple keyword search tool or don't have a specific collection of documents to query.
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Last pushed
Jan 25, 2024
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