langchain-chat-with-documents and Realtime-Document-Chat-System
These are competitors offering similar document-to-chat interfaces—both use Langchain to enable question-answering over PDF documents, with the main technical difference being that A supports multiple document formats (pdf, docx, txt) while B is PDF-specific and adds a Streamlit UI layer.
Maintenance
0/25
Adoption
10/25
Maturity
16/25
Community
22/25
Maintenance
0/25
Adoption
8/25
Maturity
16/25
Community
18/25
Stars: 287
Forks: 58
Downloads: —
Commits (30d): 0
Language: TypeScript
License: MIT
Stars: 50
Forks: 12
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m
No Package
No Dependents
Stale 6m
No Package
No Dependents
About langchain-chat-with-documents
ciocan/langchain-chat-with-documents
Chat with documents (pdf, docx, txt) using ChatGPT and Langchain
About Realtime-Document-Chat-System
praj2408/Realtime-Document-Chat-System
In this project, we used Langchain to create a ChatGPT for your PDF using Streamlit. We built an application that allows you to ask questions about a PDF document and get answers directly from an LLM (Large Language Model), like OpenAI's ChatGPT.
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