bhattbhavesh91/pdf-qa-astradb-langchain
Explore how to build a Q&A system on PDF File's using AstraDB's Vector DB with Langchain and OpenAI API's
This project helps you quickly find answers to your questions within large PDF documents. You feed in one or more PDF files, and then you can ask questions about their content in plain language. It's designed for anyone who needs to extract specific information from long reports, manuals, or research papers without manually sifting through pages.
No commits in the last 6 months.
Use this if you frequently need to get specific information or summaries from numerous PDF documents and want to do so by simply asking questions.
Not ideal if your primary need is simply to view or annotate PDFs, or if you only deal with very short documents where manual searching is quicker.
Stars
7
Forks
6
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Oct 02, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/bhattbhavesh91/pdf-qa-astradb-langchain"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
dsba6010-llm-applications/baemax_tc
LLM App to demystify and summarize Terms and Conditions agreements
brettlyy/text-to-sql
An application to write and run SQL queries, returning answers to natural language questions,...
techdomegh/ai-news-scraper
AI News Scraper & Semantic Search: A Python application that scrapes news articles, uses GenAI...
lightfeed/sdk
Lightfeed SDK to search and filter web data
hrishi-008/SummarAI
A tool for summarizing search results and website content using FAISS, LLMs, and the...