Build Your Own ChatGPT Using Streamlit and LangChain (Part-3)

Ishaan Gupta

17 min read

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22 hours ago

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Welcome back to our LLM chat app series. In Part 2, we leveled it up with smart tool integration (Tavily web search, calculator, current time) and few other minor changes.

Today in Part 3, we’re pushing things further with production-grade upgrades:

• PostgreSQL Database with Docker: Replace our JSON file storage with a real database for reliable, scalable chat persistence
• Real-Time Streaming Responses: Token-by-token streaming just like ChatGPT, no more waiting for the full response
• Chat Export: Download your conversations as Markdown or JSON with one click
• Internal Memory Tool: A hidden database-backed tool that lets the AI recall your previous prompts from the current chat session, scoped guarded against prompt injection, and completely invisible to the user
• Better UI

By the end of this tutorial, your AI assistant will feel like a real product

Prerequisites

Before we begin, make sure you have:

• Part 2 code up and running
• Docker Desktop installed
• Your API keys (OpenAI, Tavily) in a .env file
• Python 3.11+ with the project virtual…