Retrieval-Augmented-Generation-Engine-with-LangChain-and-Streamlit
Powerful web application that combines Streamlit, LangChain, and Pinecone to simplify document analysis. Powered by OpenAI's GPT-3, RAG enables dynamic, interactive document conversations, making it ideal for efficient document retrieval and summarization.
mirabdullahyaser/Retrieval-Augmented-Generation-Engine-with-LangChain-and-Streamlit
View on GitHub ↗Powerful web application that combines Streamlit, LangChain, and Pinecone to simplify document analysis. Powered by OpenAI's GPT-3, RAG enables dynamic, interactive document conversations, making it ideal for efficient document retrieval and summarization.
Retrieval-Augmented-Generation-Engine-with-LangChain-and-Streamlit grew +0.0% in the last 30 days, ranks 347th of 442 in Research & Deep Research, last commit 842 days ago.
Star trajectory
115 days tracked+0.0% in 30d, below the Research & Deep Research median of +0.7%.
Last commit 842 days ago, staler than the median of 40d.
How it compares in Research & Deep Research
Ranked 347th of 442 by stars.
- Language
- Python
- License
- -
- Contributors
- 1
- Forks
- 68
- Watchers
- 4
- Open issues
- 5
- Releases
- 0
- Created
- 2023-08-21
- Stars this week
- +0
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