Phoenix - Your AI AssistantBuild a custom AI chatbot for your documents using RAG
Delivery in
5 days
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What you get with this Offer
I will build a custom AI chatbot that allows users to ask questions and receive accurate answers from their own documents or business knowledge base.
The solution will use retrieval-augmented generation to search relevant information before generating a response. This helps produce more reliable and context-aware answers than a standard chatbot.
This offer includes:
• Document upload and processing
• Text chunking and embedding generation
• Vector database integration
• RAG-based question answering
• OpenAI or compatible LLM integration
• Python and FastAPI backend
• Basic chat interface or API endpoint
• Source-aware responses
• Setup documentation
• One revision
The base offer covers one focused chatbot, up to 10 documents and a basic interface. Advanced dashboards, authentication, multiple user roles, cloud deployment and large document collections can be added separately.
The solution will use retrieval-augmented generation to search relevant information before generating a response. This helps produce more reliable and context-aware answers than a standard chatbot.
This offer includes:
• Document upload and processing
• Text chunking and embedding generation
• Vector database integration
• RAG-based question answering
• OpenAI or compatible LLM integration
• Python and FastAPI backend
• Basic chat interface or API endpoint
• Source-aware responses
• Setup documentation
• One revision
The base offer covers one focused chatbot, up to 10 documents and a basic interface. Advanced dashboards, authentication, multiple user roles, cloud deployment and large document collections can be added separately.
What the Freelancer needs to start the work
Please provide:
• The documents, PDFs, website content or knowledge base to be used
• A short explanation of the chatbot’s purpose
• The intended users and expected questions
• Your preferred AI provider, if any
• Branding assets if a custom interface is required
• Hosting details only if deployment is included
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