landing_page/qdrant-landing/data/examples.yaml

- page: /documentation/tutorials-basics/search-beginners/
  goal: Get Started
  stack:
    - Python
    - Cloud Inference
  resources:
    - label: Open Notebook
      url: https://githubtocolab.com/qdrant/examples/blob/master/semantic-search-in-5-minutes/semantic_search_in_5_minutes.ipynb
- page: /documentation/tutorials-basics/search-beginners-local/
  goal: Get Started
  stack:
    - Python
    - Sentence Transformers
- page: /documentation/tutorials-basics/cloud-inference-hybrid-search/
  goal: Search Quality
  stack:
    - Python
    - Cloud Inference
- page: /documentation/tutorials-develop/hybrid-search-fastembed/
  goal: Search Quality
  stack:
    - Python
    - FastEmbed
    - FastAPI
  resources:
    - label: View Code
      url: https://github.com/qdrant/qdrant_demo/
- page: /documentation/tutorials-basics/reranking-hybrid-search/
  goal: Search Quality
  stack:
    - Python
    - FastEmbed
- page: /documentation/tutorials-develop/neural-search/
  goal: Get Started
  stack:
    - Python
    - FastAPI
  resources:
    - label: Open Notebook
      url: https://colab.research.google.com/drive/1kPktoudAP8Tu8n8l-iVMOQhVmHkWV_L9?usp=sharing
- page: /documentation/tutorials-develop/code-search/
  goal: Search Quality
  stack:
    - Python
    - FastEmbed
  resources:
    - label: Open Notebook
      url: https://colab.research.google.com/github/qdrant/examples/blob/master/code-search/code-search.ipynb
- page: /documentation/tutorials-basics/huggingface-datasets/
  goal: Data & Filtering
  stack:
    - Python
    - Hugging Face
- page: /documentation/tutorials-develop/async-api/
  goal: Operations
  stack:
    - Python
- page: /documentation/tutorials-search-engineering/ann-recall/
  goal: Search Quality
  stack:
    - Python
    - Web UI
  description: Compare approximate search with exact results, inspect ANN recall in the Web UI, and add a repeatable Python check.
  keywords: evaluation index quality hnsw approximate exact recall
- page: /documentation/tutorials-search-engineering/branch-aware-search/
  goal: Data & Filtering
  stack:
    - Python
  keywords: versioned documents branches filters inherited data
- page: /documentation/tutorials-search-engineering/index-dynamic-payloads/
  goal: Data & Filtering
  stack:
    - Python
  keywords: arbitrary dynamic attributes filters payload schema
- page: /documentation/tutorials-search-engineering/multi-representation-search/
  goal: Search Quality
  stack:
    - Python
    - FastEmbed
  description: Combine title, summary, and chunk vectors in one retrieval pipeline, then compare the effect of each representation.
  resources:
    - label: Open Notebook
      url: https://githubtocolab.com/qdrant/examples/blob/master/multi-representation-search/multi-representation-search.ipynb
- page: /documentation/tutorials-search-engineering/pdf-retrieval-at-scale/
  goal: Multimodal Search
  stack:
    - Python
    - ColPali
  resources:
    - label: Open Notebook
      url: https://githubtocolab.com/qdrant/examples/blob/master/pdf-retrieval-at-scale/ColPali_ColQwen2_Tutorial.ipynb
- page: /documentation/tutorials-search-engineering/using-multivector-representations/
  goal: Search Quality
  stack:
    - Python
    - FastEmbed
- page: /documentation/tutorials-search-engineering/using-relevance-feedback/
  goal: Search Quality
  stack:
    - Python
  resources:
    - label: Open Notebook
      url: https://githubtocolab.com/qdrant/examples/blob/master/using-relevance-feedback/Customizing_Relevance_Feedback.ipynb
- page: /documentation/tutorials-search-engineering/static-embeddings/
  goal: Search Quality
  stack:
    - Python
- page: /documentation/tutorials-search-engineering/turbo4-multivector-search/
  goal: Search Quality
  stack:
    - Python
  resources:
    - label: Open Notebook
      url: https://githubtocolab.com/qdrant/examples/blob/master/multivector-turbo4/Multivector_Turbo4.ipynb
- page: /documentation/tutorials-search-engineering/collaborative-filtering/
  goal: Recommendations
  stack:
    - Python
  resources:
    - label: Open Notebook
      url: https://githubtocolab.com/qdrant/examples/blob/master/collaborative-filtering/collaborative-filtering.ipynb
- page: /documentation/tutorials-operations/embedding-model-migration/
  goal: Operations
  stack:
    - Python
  keywords: replace change embedding models migration serving traffic
- page: /documentation/tutorials-operations/create-snapshot/
  goal: Operations
  stack:
    - Python
- page: /documentation/tutorials-operations/blue-green-deployment/
  goal: Operations
  stack:
    - Python
- page: /documentation/tutorials-operations/gpu-accelerated-hnsw-indexing/
  goal: Operations
  stack:
    - Python
    - Qdrant Cloud
  resources:
    - label: Open Notebook
      url: https://githubtocolab.com/qdrant/examples/blob/master/gpu-accelerated-hnsw-indexing/Gpu_Accelerated_HNSW_Indexing.ipynb
- page: /documentation/tutorials-operations/incremental-embedding-updates/
  goal: Data & Filtering
  stack:
    - Python
  resources:
    - label: Open Notebook
      url: https://githubtocolab.com/qdrant/examples/blob/master/temporal-data-drift/sync_raw_data_to_embeddings.ipynb
- page: /documentation/tutorials-operations/large-scale-search/
  goal: Operations
  stack:
    - Python
  resources:
    - label: View Code
      url: https://github.com/qdrant/laion-400m-benchmark
- page: /documentation/tutorials-operations/migration/
  goal: Operations
  stack:
    - Migration Tool
- page: /documentation/tutorials-operations/prevent-unoptimized-usage/
  goal: Operations
  stack:
    - Python
  resources:
    - label: Open Notebook
      url: https://githubtocolab.com/qdrant/examples/blob/master/prevent_unoptimized_usage/prevent_unoptimized.ipynb
- page: /documentation/tutorials-operations/secure-qdrant/
  goal: Operations
  stack:
    - Docker
- page: /documentation/tutorials-operations/time-based-sharding/
  goal: Data & Filtering
  stack:
    - Python
- page: /documentation/tutorials-build-essentials/rag-deepseek/
  goal: RAG & Agents
  stack:
    - Python
    - DeepSeek
  resources:
    - label: View Notebook
      url: https://github.com/qdrant/examples/blob/master/rag-with-qdrant-deepseek/deepseek-qdrant.ipynb
- page: /documentation/tutorials-build-essentials/qdrant-n8n/
  goal: RAG & Agents
  stack:
    - n8n
- page: /documentation/tutorials-basics/multimodal-search/
  goal: Multimodal Search
  stack:
    - Python
    - Cohere
    - Cloud Inference
  resources:
    - label: Open Notebook
      url: https://githubtocolab.com/qdrant/examples/blob/master/multimodal-search/Multimodal_Search_with_Cohere_and_Cloud_Inference.ipynb
- page: /documentation/tutorials-build-essentials/data-ingestion-beginners/
  goal: Data & Filtering
  stack:
    - Python
    - LangChain
    - AWS
- page: /documentation/tutorials-build-essentials/agentic-rag-camelai-discord/
  goal: RAG & Agents
  stack:
    - Python
    - CAMEL-AI
  resources:
    - label: Open Notebook
      url: https://colab.research.google.com/drive/1Ymqzm6ySoyVOekY7fteQBCFCXYiYyHxw#scrollTo=QQZXwzqmNfaS
- page: /documentation/tutorials-build-essentials/video-anomaly-edge-part-1/
  goal: Multimodal Search
  stack:
    - Qdrant Edge
    - Twelve Labs
  resources:
    - label: View Code
      url: https://github.com/qdrant/video-anomaly-edge
- page: /documentation/tutorials-build-essentials/video-anomaly-edge-part-2/
  goal: Multimodal Search
  stack:
    - Qdrant Edge
    - Twelve Labs
  resources:
    - label: View Code
      url: https://github.com/qdrant/video-anomaly-edge
- page: /documentation/tutorials-build-essentials/video-anomaly-edge-part-3/
  goal: Multimodal Search
  stack:
    - Qdrant Edge
    - Twelve Labs
  resources:
    - label: View Code
      url: https://github.com/qdrant/video-anomaly-edge
- page: /documentation/examples/graphrag-qdrant-neo4j/
  goal: RAG & Agents
  stack:
    - Python
    - Neo4j
  resources:
    - label: View Code
      url: https://github.com/qdrant/examples/blob/master/graphrag_neo4j/graphrag.py
- page: /documentation/examples/hybrid-search-llamaindex-jinaai/
  goal: RAG & Agents
  stack:
    - Python
    - LlamaIndex
    - Jina
  resources:
    - label: Open Notebook
      url: https://githubtocolab.com/infoslack/qdrant-example/blob/main/HC-demo/HC-DO-LlamaIndex-Jina-v2.ipynb
  keywords: PDF documents manuals LlamaIndex Jina RAG
- page: /documentation/examples/Qdrant-DSPy-medicalbot/
  goal: RAG & Agents
  stack:
    - Python
    - DSPy
  resources:
    - label: View Notebook
      url: https://github.com/qdrant/examples/blob/master/DSPy-medical-bot/medical_bot_DSPy_Qdrant.ipynb
- page: /documentation/examples/cohere-rag-connector/
  goal: RAG & Agents
  stack:
    - Python
    - Cohere
- page: /documentation/examples/natural-language-search-oracle-cloud-infrastructure-cohere-langchain/
  goal: RAG & Agents
  stack:
    - LangChain
    - Cohere
    - Oracle Cloud
- page: /documentation/examples/rag-chatbot-red-hat-openshift-haystack/
  goal: RAG & Agents
  stack:
    - Haystack
    - OpenShift
- page: /documentation/examples/rag-chatbot-scaleway/
  goal: RAG & Agents
  stack:
    - LangChain
    - OpenAI
    - Scaleway
  resources:
    - label: View Notebook
      url: https://github.com/qdrant/examples/blob/langchain-lcel-rag/langchain-lcel-rag/Langchain-LCEL-RAG-Demo.ipynb
- page: /documentation/examples/rag-chatbot-vultr-dspy-ollama/
  goal: RAG & Agents
  stack:
    - DSPy
    - Ollama
    - Vultr
- page: /documentation/examples/rag-contract-management-stackit-aleph-alpha/
  goal: RAG & Agents
  stack:
    - Aleph Alpha
    - STACKIT
- page: /documentation/examples/rag-customer-support-cohere-airbyte-aws/
  goal: RAG & Agents
  stack:
    - Cohere
    - Airbyte
    - AWS
- page: /documentation/examples/recommendation-system-ovhcloud/
  goal: Recommendations
  stack:
    - Python
    - OVHcloud
  resources:
    - label: View Notebook
      url: https://github.com/infoslack/qdrant-example/blob/main/HC-demo/HC-OVH.ipynb