qdrant-landing/content/documentation/examples/_index.md

---
title: Examples
weight: 35
---
# Examples

| End-to-End Code Samples                                                                   | Description                                                       | Stack                                       |   
|---------------------------------------------------------------------------------|-------------------------------------------------------------------|---------------------------------------------|
| [Aleph Alpha Search](../examples/aleph-alpha-search/)                          | Build a multimodal search that combines text and image data.      | Qdrant, Aleph Alpha                         | 
| [Mighty Semantic Search](../examples/mighty/)                                  | Build a simple semantic search with an on-demand NLP service.     | Qdrant, Mighty                              | 
| [Multitenancy with LlamaIndex](../examples/llama-index-multitenancy/)          | Handle data coming from multiple users in LlamaIndex.             | Qdrant, Python, LlamaIndex                  |
| [Implement custom connector for Cohere RAG](../examples/cohere-rag-connector/) | Bring data stored in Qdrant to Cohere RAG                         | Qdrant, Cohere, FastAPI                     |
| [Chatbot for Interactive Learning](../examples/rag-chatbot-red-hat-openshift-haystack/)                                 | Build a Private RAG Chatbot for Interactive Learning              | Qdrant, Haystack, OpenShift                                      |  
| [Information Extraction Engine](../examples/rag-chatbot-vultr-dspy-ollama/)                                 | Build a Private RAG Information Extraction Engine               | Qdrant, Vultr, DSPy, Ollama                                      |  
| [System for Employee Onboarding](../examples/natural-language-search-oracle-cloud-infrastructure-cohere-langchain/)                                 | Build a RAG System for Employee Onboarding               | Qdrant, Cohere, LangChain                                      |  
| [System for Contract Management](../examples/rag-contract-management-stackit-aleph-alpha/)                                 | Build a Region-Specific RAG System for Contract Management              | Qdrant, Aleph Alpha, STACKIT                                      |  
| [Question-Answering System for Customer Support](../examples/rag-customer-support-cohere-airbyte-aws/)                                 | Build a RAG System for AI Customer Support               | Qdrant, Cohere, Airbyte, AWS                                      |  
| [Hybrid Search on PDF Documents](../examples/hybrid-search-llamaindex-jinaai/)                                 | Develop a Hybrid Search System for Product PDF Manuals                | Qdrant, LlamaIndex, Jina AI   
| [Blog-Reading RAG Chatbot](../examples/rag-chatbot-scaleway)                                 | Develop a RAG-based Chatbot on Scaleway and with LangChain                | Qdrant, LangChain, GPT-4o   
| [Movie Recommendation System](../examples/recommendation-system-ovhcloud/)                                 | Build a Movie Recommendation System with LlamaIndex and With JinaAI             | Qdrant |   
| [Qdrant on Databricks](../examples/databricks/)                                                                     | Learn how to use Qdrant on Databricks using the Spark connector     | Qdrant, Databricks, Apache Spark |
| [Qdrant with Airflow and Astronomer](../examples/qdrant-airflow-astronomer/)                                        | Build a semantic querying system using Airflow and Astronomer       | Qdrant, Airflow, Astronomer      |


## Notebooks

Our Notebooks offer complex instructions that are supported with a throrough 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://githubtocolab.com/qdrant/examples/blob/master/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  |

## Data Transfer

| Example                                                                   | Description                                                       | Stack                                       |   
|---------------------------------------------------------------------------------|-------------------------------------------------------------------|---------------------------------------------|
| [Pinecone to Qdrant Data Transfer](https://githubtocolab.com/qdrant/examples/blob/master/data-migration/from-pinecone-to-qdrant.ipynb)                                                                                                                          | Migrate your vector data from Pinecone to Qdrant.                                                 |  Qdrant, Vector-io  |