Chat-With-CUHKSZ

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Chat-With-CUHKSZ is an open-source AI chatbot designed for querying the Chinese University of Hong Kong Shenzhen information. It indexes campus documents, PDFs, and web content via LlamaIndex, then uses LangChain to drive an interactive chat interface. Users can upload new files, perform retrieval-augmented generation, and customize prompt chains for accurate knowledge-based responses.
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May 19 2025
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Chat-With-CUHKSZ

Chat-With-CUHKSZ

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0
Chat-With-CUHKSZ
Chat-With-CUHKSZ is an open-source AI chatbot designed for querying the Chinese University of Hong Kong Shenzhen information. It indexes campus documents, PDFs, and web content via LlamaIndex, then uses LangChain to drive an interactive chat interface. Users can upload new files, perform retrieval-augmented generation, and customize prompt chains for accurate knowledge-based responses.
Added on:
Social & Email:
Platform:
May 19 2025
--
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What is Chat-With-CUHKSZ?

Chat-With-CUHKSZ provides a streamlined pipeline for building a domain-specific chatbot over the CUHKSZ knowledge base. After cloning the repository, users configure their OpenAI API credentials and specify document sources, such as campus PDFs, website pages, and research papers. The tool uses LlamaIndex to preprocess and index documents, creating an efficient vectorized store. LangChain orchestrates the retrieval and prompts, delivering relevant answers in a conversational interface. The architecture supports adding custom documents, fine-tuning prompt strategies, and deploying via Streamlit or a Python server. It also integrates optional semantic search enhancements, supports logging queries for auditing, and can be extended to other universities with minimal configuration.

Who will use Chat-With-CUHKSZ?

  • CUHKSZ students
  • Faculty members
  • Campus administrators
  • Developers learning retrieval-augmented generation

How to use the Chat-With-CUHKSZ?

  • Step1: Clone the GitHub repository
  • Step2: Install required Python packages via pip
  • Step3: Set up your OpenAI API key in environment variables
  • Step4: Place campus documents (PDFs, text) into the docs folder
  • Step5: Run the ingestion script to index documents
  • Step6: Launch the chat interface with 'streamlit run app.py'
  • Step7: Enter queries and receive AI-driven responses

Platform

  • mac
  • windows
  • linux

Chat-With-CUHKSZ's Core Features & Benefits

The Core Features

  • Document ingestion and parsing (PDF, text)
  • Vector indexing via LlamaIndex
  • Retrieval-augmented generation with LangChain
  • Interactive chat UI using Streamlit
  • Custom prompt configuration
  • Query logging and auditing

The Benefits

  • Quick setup and deployment
  • Accurate domain-specific answers
  • Open-source and extensible
  • Customizable for new data sources
  • Educational reference for RAG pipelines

Chat-With-CUHKSZ's Main Use Cases & Applications

  • Campus information Q&A
  • Academic document search
  • Research paper retrieval
  • University FAQ automation

FAQs of Chat-With-CUHKSZ

Chat-With-CUHKSZ Company Information

Chat-With-CUHKSZ Reviews

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Chat-With-CUHKSZ's Main Competitors and alternatives?

  • LangChain RAG Chatbot
  • LlamaIndex Playground
  • ChatWithDocs
  • ChatPDF
  • HuggingFace ConversationalRetrievalQA

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