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https://github.com/bhattbhavesh91/pdf-q-a-llamaindex-llama2

Chat with your PDF files using LlamaIndex, Astra DB (Apache Cassandra), and Gradient's open-source models, including LLama2 and Streamlit, all designed for seamless interaction with PDF files.
https://github.com/bhattbhavesh91/pdf-q-a-llamaindex-llama2

apache-cassandra astradb llama-index llama2 pdf-chatbot python streamlit streamlit-webapp

Last synced: about 1 month ago
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Chat with your PDF files using LlamaIndex, Astra DB (Apache Cassandra), and Gradient's open-source models, including LLama2 and Streamlit, all designed for seamless interaction with PDF files.

Host: GitHub
URL: https://github.com/bhattbhavesh91/pdf-q-a-llamaindex-llama2
Owner: bhattbhavesh91
License: apache-2.0
Created: 2023-10-31T15:29:50.000Z (about 1 year ago)
Default Branch: main
Last Pushed: 2023-11-04T15:08:39.000Z (about 1 year ago)
Last Synced: 2024-10-09T05:10:42.139Z (about 1 month ago)
Topics: apache-cassandra, astradb, llama-index, llama2, pdf-chatbot, python, streamlit, streamlit-webapp
Language: Jupyter Notebook
Homepage:
Size: 15.6 KB
Stars: 36
Watchers: 4
Forks: 13
Open Issues: 0
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE

Awesome Lists containing this project

README

Build a PDF Document Question Answering System with Llama2, LlamaIndex

I'll walk you through the steps to create a powerful PDF Document-based Question Answering System using using Retrieval Augmented Generation. We'll harness the power of LlamaIndex, enhanced with the Llama2 model API using Gradient's LLM solution, seamlessly merge it with DataStax's Apache Cassandra as a vector database. This innovative blend unlocks exciting opportunities for immersive interactions with pdf documents through engaging conversations. Get ready to explore this cutting-edge technology!