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.
AI Platforms & Frameworks
Document Processing
#Chatbot Development
#domain-specific chatbot
#OpenAI-Integration
#LlamaIndex
#document parsing
#LangChain
#conversational UI
#streamlit app
#custom prompts
#query logging
#data sources
#university chatbot
#Educational tools
#RAG pipelines
#vectorized document store
#semantic search
#interactive chat
#efficient indexing
#User-friendly interface
#open-source chatbot
...
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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.
AI Platforms & Frameworks
Document Processing
#Chatbot Development
#domain-specific chatbot
#OpenAI-Integration
#LlamaIndex
#document parsing
#LangChain
#conversational UI
#streamlit app
#custom prompts
#query logging
#data sources
#university chatbot
#Educational tools
#RAG pipelines
#vectorized document store
#semantic search
#interactive chat
#efficient indexing
#User-friendly interface
#open-source chatbot
...
Featured
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
- BetterAndBetterII
Chat-With-CUHKSZ Reviews
5/5
Chat-With-CUHKSZ's Main Competitors and alternatives?
- LangChain RAG Chatbot
- LlamaIndex Playground
- ChatWithDocs
- ChatPDF
- HuggingFace ConversationalRetrievalQA
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