152 Coding prompts, curated and searchable. Browse all categories →
Multi-agent conversational system generating immersive, location-aware audio tours with expressive TTS output.
### 🎓 FREE Step-by-Step Tutorial **👉 [Click here to follow our complete step-by-step tutorial](https://www.theunwindai.com/p/build-a-self-guided-ai-audio-tour-agent) and learn how to build this from scratch with detailed code walkthroughs, explanations, and best practices.** A conversational voice agent system that generates immersive, self-guided audio tours based on the user’s **location**, **
A pip requirements file listing specific Python package versions for an OpenAI agents project.
openai==1.68.2 openai-agents==0.0.6 pydantic==2.10.6 pydantic_core==2.27.2 python-dotenv==1.0.1 rich==13.9.4 streamlit==1.43.2
Build a voice-enabled RAG app with PDF ingestion, Qdrant vector search, and OpenAI text-to-speech via Streamlit.
## 🎙️ Voice RAG with OpenAI SDK ### 🎓 FREE Step-by-Step Tutorial **👉 [Click here to follow our complete step-by-step tutorial](https://www.theunwindai.com/p/build-a-voice-rag-agent) and learn how to build this from scratch with detailed code walkthroughs, explanations, and best practices.** This script demonstrates how to build a voice-enabled Retrieval-Augmented Generation (RAG) system using O
A list of Python package dependencies for an AI agent application using OpenAI, Streamlit, Qdrant, and LangChain.
openai-agents==0.4.2 streamlit==1.51.0 qdrant-client==1.15.1 fastembed==0.7.3 langchain==1.0.3 langchain-community==0.4.1 langchain-openai==1.0.2 openai==2.7.1 langchain-text-splitters==1.0.0
Build a voice-powered customer support agent using GPT-4o, Qdrant, and Firecrawl for doc-based Q&A.
### 🎓 FREE Step-by-Step Tutorial **👉 [Click here to follow our complete step-by-step tutorial](https://www.theunwindai.com/p/build-a-customer-support-voice-agent) and learn how to build this from scratch with detailed code walkthroughs, explanations, and best practices.** An OpenAI SDK powered customer support agent application that delivers voice-powered responses to questions about your knowle
A requirements.txt listing Python package dependencies for a Firecrawl, Qdrant, Streamlit, and OpenAI agents project.
firecrawl-py qdrant-client streamlit fastembed openai>=1.0.0 python-dotenv openai-agents
Lists specific Python package dependencies with version constraints for a Streamlit and AI application.
streamlit==1.40.2 agno>=2.2.10 Pillow==10.0.0 duckduckgo-search==6.4.1 google-generativeai==0.8.3
A list of Python package dependencies including e2b, Streamlit, pandas, and matplotlib.
together==1.3.10 e2b-code-interpreter==1.0.3 e2b==1.0.5 Pillow==10.4.0 streamlit pandas matplotlib
Defines versioned Python dependencies for a Streamlit, OpenAI, DuckDB, and Agno application.
streamlit==1.41.1 openai==1.58.1 duckdb>=1.4.1 pandas numpy==1.26.4 agno>=2.2.10
README for a Streamlit app combining Gemini 2.5 video analysis with DuckDuckGo web search.
## 🧬 Multimodal AI Agent A Streamlit application that combines video analysis and web search capabilities using Google's Gemini 2.5 model. This agent can analyze uploaded videos and answer questions by combining visual understanding with web-search. ### Features - Video analysis using Gemini 2.5 Flash/Pro - Web research integration via DuckDuckGo - Support for multiple video formats (MP4, MOV,
A requirements file listing Python dependencies including Streamlit, Agno, OpenAI, and calendar tools.
streamlit agno>=2.2.10 openai google-search-results icalendar
Defines versioned Python package dependencies for a Streamlit AI application stack.
streamlit>=1.32,<2.0 agno>=1.1.7 firecrawl-py>=1.9.0 e2b-code-interpreter>=1.0.3 openai>=1.30.0
A pip requirements file listing Python package dependencies for a Streamlit and browser automation project.
streamlit browser-use==0.1.26 playwright==1.49.1 langchain-openai langchain-anthropic asyncio
README for an Ollama-powered AI reasoning agent with interactive playground and markdown output support.
## AI Reasoning Agent The AI Reasoning Agent leverages advanced AI models to provide insightful reasoning and decision-making capabilities. This agent is designed to assist users in various analytical tasks by processing information and generating structured outputs. ### Features - **Advanced Reasoning**: Utilizes the Ollama model to perform complex reasoning tasks - **Interactive Playground**:
Lists core Python package dependencies including agno, ollama, fastapi, and uvicorn.
agno ollama fastapi uvicorn
Build an AI-powered web scraping agent using ScrapeGraph AI with local and cloud SDK implementations.
### 🎓 FREE Step-by-Step Tutorial **👉 [Click here to follow our complete step-by-step tutorial](https://www.theunwindai.com/p/build-a-web-scraping-ai-agent-with-llama-3-2-running-locally) and learn how to build this from scratch with detailed code walkthroughs, explanations, and best practices.** AI-powered web scraping using **ScrapeGraph AI** - extract structured data from websites using natura
Lists Python package requirements including Streamlit, ScrapegraphAI, and Playwright.
streamlit scrapegraphai playwright
Specifies Python package dependencies including agno, duckduckgo-search, and yfinance.
agno>=2.2.10 duckduckgo-search yfinance
Lists Python package dependencies including OpenAI agents, Streamlit, Pydantic, and utilities.
openai-agents openai streamlit uuid pydantic python-dotenv asyncio
Streamlit app that generates MP3 music tracks using ModelsLab API and GPT-4 from text prompts.
## ModelsLab Music Generator This is a Streamlit-based application that allows users to generate music using the ModelsLab API and OpenAI's GPT-4 model. Users can input a prompt describing the type of music they want to generate, and the application will generate a music track in MP3 format based on the given prompt. ## Features - **Generate Music**: Enter a detailed prompt for music generation
Specifies Python package dependencies with version constraints for an AI-powered Streamlit application.
agno>=2.2.10 Requests==2.32.3 streamlit==1.44.1 openai==2.8.1
A pip requirements file listing specific Python package dependencies and their versions.
streamlit==1.44.1 pillow==11.1.0 agno>=2.2.10 google-genai==1.9.0 duckduckgo-search
Lists Python package requirements: streamlit, asyncio, and together.
streamlit asyncio together
Streamlit app implementing RAG with intelligent query routing across specialized databases and web search fallback.
### 🎓 FREE Step-by-Step Tutorial **👉 [Click here to follow our complete step-by-step tutorial](https://www.theunwindai.com/p/build-a-rag-agent-with-database-routing) and learn how to build this from scratch with detailed code walkthroughs, explanations, and best practices.** A Streamlit application that demonstrates an advanced implementation of RAG Agent with intelligent query routing. The syst
Multimodal RAG system using Cohere Embed-4 for image retrieval and Gemini 2.5 Flash for visual question answering.
A powerful visual Retrieval-Augmented Generation (RAG) system that utilizes Cohere's state-of-the-art Embed-4 model for multimodal embedding and Google's efficient Gemini 2.5 Flash model for answering questions about images and PDF pages. ## Features - **Multimodal Search**: Leverages Cohere Embed-4 to find the most semantically relevant image (or PDF page image) for a given text question. - **V
Specifies minimum versions for a Python project using Streamlit, Cohere, Google AI, and related libraries.
streamlit>=1.32.0 cohere>=5.0.0 google-generativeai>=0.3.0 Pillow>=10.0.0 requests>=2.31.0 numpy>=1.24.0 tqdm>=4.66.0 PyMuPDF>=1.23.0
Build an agentic RAG application using GPT-5, Agno framework, and LanceDB for semantic search and real-time Q&A.
### 🎓 FREE Step-by-Step Tutorial **👉 [Click here to follow our complete step-by-step tutorial](https://www.theunwindai.com/p/build-agentic-rag-with-openai-gpt-5) and learn how to build this from scratch with detailed code walkthroughs, explanations, and best practices.** An agentic RAG application built with the Agno framework, featuring GPT-5 and LanceDB for efficient knowledge retrieval and qu
A requirements file listing Python dependencies for a Streamlit app with Agno, OpenAI, LanceDB, and dotenv.
streamlit agno>=2.2.10 openai lancedb python-dotenv
Specifies the minimum version requirement for the OpenAI Python package.
openai>=1.6.0
A multi-stage RAG system using LangGraph, Qdrant, Claude, and Tavily for self-correcting retrieval and generation.
A sophisticated Retrieval-Augmented Generation (RAG) system that implements a corrective multi-stage workflow using LangGraph. This system combines document retrieval, relevance grading, query transformation, and web search to provide comprehensive and accurate responses. ## Features - **Smart Document Retrieval**: Uses Qdrant vector store for efficient document retrieval - **Document Relevance