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* fix: links in hybrid-queries.md * refactor: Use abs links * fix: Check internal links * ci: Rename job
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6.6 KiB
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35 lines
6.6 KiB
Markdown
---
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title: Build Prototypes
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weight: 26
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---
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# Examples
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| End-to-End Code Samples | Description | Stack |
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| [Multitenancy with LlamaIndex](/documentation/examples/llama-index-multitenancy/) | Handle data coming from multiple users in LlamaIndex. | Qdrant, Python, LlamaIndex |
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| [Implement custom connector for Cohere RAG](/documentation/examples/cohere-rag-connector/) | Bring data stored in Qdrant to Cohere RAG | Qdrant, Cohere, FastAPI |
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| [Chatbot for Interactive Learning](/documentation/examples/rag-chatbot-red-hat-openshift-haystack/) | Build a Private RAG Chatbot for Interactive Learning | Qdrant, Haystack, OpenShift |
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| [Information Extraction Engine](/documentation/examples/rag-chatbot-vultr-dspy-ollama/) | Build a Private RAG Information Extraction Engine | Qdrant, Vultr, DSPy, Ollama |
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| [System for Employee Onboarding](/documentation/examples/natural-language-search-oracle-cloud-infrastructure-cohere-langchain/) | Build a RAG System for Employee Onboarding | Qdrant, Cohere, LangChain |
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| [System for Contract Management](/documentation/examples/rag-contract-management-stackit-aleph-alpha/) | Build a Region-Specific RAG System for Contract Management | Qdrant, Aleph Alpha, STACKIT |
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| [Question-Answering System for Customer Support](/documentation/examples/rag-customer-support-cohere-airbyte-aws/) | Build a RAG System for AI Customer Support | Qdrant, Cohere, Airbyte, AWS |
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| [Hybrid Search on PDF Documents](/documentation/examples/hybrid-search-llamaindex-jinaai/) | Develop a Hybrid Search System for Product PDF Manuals | Qdrant, LlamaIndex, Jina AI
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| [Blog-Reading RAG Chatbot](/documentation/examples/rag-chatbot-scaleway/) | Develop a RAG-based Chatbot on Scaleway and with LangChain | Qdrant, LangChain, GPT-4o
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| [Movie Recommendation System](/documentation/examples/recommendation-system-ovhcloud/) | Build a Movie Recommendation System with LlamaIndex and With JinaAI | Qdrant |
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## Notebooks
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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.
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| Example | Description | Stack |
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|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------|----------------------------|
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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