# Build Prototypes# Build Prototypes ## End-to-End Code Samples The following guided samples help you get started with real-world projects using Qdrant and other ecosystem tools. | Guided Sample | Description | Stack | |---------------------------------------------------------------------------------|-------------------------------------------------------------------|---------------------------------------------| | [Multitenancy with LlamaIndex](/documentation/examples/llama-index-multitenancy/index.md) | Handle data coming from multiple users in LlamaIndex. | Qdrant, Python, LlamaIndex | | [Implement custom connector for Cohere RAG](/documentation/examples/cohere-rag-connector/index.md) | Bring data stored in Qdrant to Cohere RAG | Qdrant, Cohere, FastAPI | | [Chatbot for Interactive Learning](/documentation/examples/rag-chatbot-red-hat-openshift-haystack/index.md) | Build a Private RAG Chatbot for Interactive Learning | Qdrant, Haystack, OpenShift | | [Information Extraction Engine](/documentation/examples/rag-chatbot-vultr-dspy-ollama/index.md) | Build a Private RAG Information Extraction Engine | Qdrant, Vultr, DSPy, Ollama | | [System for Employee Onboarding](/documentation/examples/natural-language-search-oracle-cloud-infrastructure-cohere-langchain/index.md) | Build a RAG System for Employee Onboarding | Qdrant, Cohere, LangChain | | [System for Contract Management](/documentation/examples/rag-contract-management-stackit-aleph-alpha/index.md) | Build a Region-Specific RAG System for Contract Management | Qdrant, Aleph Alpha, STACKIT | | [Question-Answering System for Customer Support](/documentation/examples/rag-customer-support-cohere-airbyte-aws/index.md) | Build a RAG System for AI Customer Support | Qdrant, Cohere, Airbyte, AWS | | [Hybrid Search on PDF Documents](/documentation/examples/hybrid-search-llamaindex-jinaai/index.md) | Develop a Hybrid Search System for Product PDF Manuals | Qdrant, LlamaIndex, Jina AI | [Blog-Reading RAG Chatbot](/documentation/examples/rag-chatbot-scaleway/index.md) | Develop a RAG-based Chatbot on Scaleway and with LangChain | Qdrant, LangChain, GPT-4o | [Movie Recommendation System](/documentation/examples/recommendation-system-ovhcloud/index.md) | Build a Movie Recommendation System with LlamaIndex and With JinaAI | Qdrant | | [GraphRAG Agent](/documentation/examples/graphrag-qdrant-neo4j/index.md) | Build a GraphRAG Agent with Neo4J and Qdrant | Qdrant, Neo4j | | [Building a Chain-of-Thought Medical Chatbot with Qdrant and DSPy](/documentation/examples/qdrant-dspy-medicalbot/index.md) | How to build a medical chatbot grounded in medical literature with Qdrant and DSPy. | Qdrant, DSPy | ## Example Notebooks Our Notebooks offer complex instructions that are supported with a thorough explanation. Follow along by trying out the code and get the most out of each example. | Example | Description | Stack | |---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------|----------------------------| | [Intro to Semantic Search and Recommendations Systems](https://githubtocolab.com/qdrant/examples/blob/master/qdrant_101_getting_started/getting_started.ipynb) | Learn how to get started building semantic search and recommendation systems. | Qdrant | | [Search and Recommend Newspaper Articles](https://githubtocolab.com/qdrant/examples/blob/master/qdrant_101_text_data/qdrant_and_text_data.ipynb) | Work with text data to develop a semantic search and a recommendation engine for news articles. | Qdrant | | [Recommendation System for Songs](https://githubtocolab.com/qdrant/examples/blob/master/qdrant_101_audio_data/03_qdrant_101_audio.ipynb) | Use Qdrant to develop a music recommendation engine based on audio embeddings. | Qdrant | | [Image Comparison System for Skin Conditions](https://colab.research.google.com/github/qdrant/examples/blob/master/qdrant_101_image_data/04_qdrant_101_cv.ipynb) | Use Qdrant to compare challenging images with labels representing different skin diseases. | Qdrant | | [Question and Answer System with LlamaIndex](https://github.com/qdrant/examples/blob/949669f001a03131afebf2ecd1e0ce63cab01c81/llama_index_recency/Qdrant%20and%20LlamaIndex%20%E2%80%94%20A%20new%20way%20to%20keep%20your%20Q%26A%20systems%20up-to-date.ipynb) | Combine Qdrant and LlamaIndex to create a self-updating Q&A system. | Qdrant, LlamaIndex, Cohere | | [Extractive QA System](https://githubtocolab.com/qdrant/examples/blob/master/extractive_qa/extractive-question-answering.ipynb) | Extract answers directly from context to generate highly relevant answers. | Qdrant | | [Ecommerce Reverse Image Search](https://githubtocolab.com/qdrant/examples/blob/master/ecommerce_reverse_image_search/ecommerce-reverse-image-search.ipynb) | Accept images as search queries to receive semantically appropriate answers. | Qdrant | | [Basic RAG](https://githubtocolab.com/qdrant/examples/blob/master/rag-openai-qdrant/rag-openai-qdrant.ipynb) | Basic RAG pipeline with Qdrant and OpenAI SDKs. | OpenAI, Qdrant, FastEmbed |