chat-with-pdf-llm and chat-with-your-docs

These are competitors offering similar functionality—both enable conversational interaction with document content through LLM-based question-answering—though B provides more robust implementation with Streamlit and Langchain integration while A appears to support broader document formats beyond PDFs.

chat-with-pdf-llm
41
Emerging
chat-with-your-docs
40
Emerging
Maintenance 0/25
Adoption 7/25
Maturity 16/25
Community 18/25
Maintenance 6/25
Adoption 2/25
Maturity 16/25
Community 16/25
Stars: 38
Forks: 13
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 2
Forks: 7
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stale 6m No Package No Dependents
No Package No Dependents

About chat-with-pdf-llm

ergv03/chat-with-pdf-llm

Chat with your PDFs, built using Streamlit and Langchain. Allows the user to ask questions to a LLM, which will answer based on the content of the provided PDFs.

This tool helps you quickly find answers within one or more PDF documents by conversing with an AI. You upload your PDFs, then type questions just as you would in a chat, and the AI provides answers drawn directly from the content of your documents. It's ideal for anyone who needs to extract specific information from long reports, research papers, manuals, or contracts without manually reading through every page.

document-analysis information-retrieval research-support data-extraction report-digestion

About chat-with-your-docs

bharatr21/chat-with-your-docs

Chat with your Text Documents

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