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qdrant

Qdrant Tutorial Directory

Quickstart

Get up and running with Qdrant in minutes.

Tutorial Objective Stack Time Level
Local Qdrant Setup Basic CRUD operations and local deployment. Python 10m Beginner
5-Minute Semantic Search Build a search engine for science fiction books. Python 5m Beginner
5-Minute RAG with DeepSeek Build a RAG pipeline with DeepSeek enrichment. Python 5m Beginner

Search Engineering

Master vector search modalities, reranking, and retrieval quality.

Tutorial Objective Stack Time Level
Neural Search Service Deploy a search service for company descriptions. FastAPI 30m Beginner
Hybrid Search with FastEmbed Combine dense and sparse search for startups. FastAPI 20m Beginner
Movie Recommendations Collaborative filtering using sparse embeddings. Python 45m Intermediate
Advanced PDF Retrieval PDF RAG using ColPali and embedding pooling. Python 30m Intermediate
Retrieval Quality Benchmarking Measure quality and tune HNSW parameters. Python 30m Intermediate
Multivector Reranking Use multivector representations for better ranking. Python 30m Intermediate
Hybrid Search Reranking Implement late interaction and sparse reranking. Python 40m Intermediate
Semantic Code Search Navigate codebases using vector similarity. Python 45m Intermediate
Static Embeddings Analysis Evaluate the renaissance of static embeddings. Python 20m Intermediate

RAG & AI Agents

Build intelligent agents and complex LLM-driven applications.

Tutorial Objective Stack Time Level
Agentic RAG with CrewAI Step-by-step multi-agent RAG system. CrewAI 45m Beginner
Agentic RAG with LangGraph Build AI agents to answer library documentation. LangGraph 45m Intermediate
Agentic Discord ChatBot Develop a functional bot with CAMEL-AI. OpenAI 45m Intermediate
Multimodal Search (LlamaIndex) Search across image and text modalities. LlamaIndex 15m Beginner
Automate Metadata Filtering Use LLM structured output for dynamic filters. Python 30m Intermediate

Ecosystem & Integrations

Connect Qdrant to cloud providers, data streams, and ETL tools.

Tutorial Objective Stack Time Level
Embedding Migration Move dense and sparse embeddings to Qdrant. CLI 30m Intermediate
S3 Ingestion with LangChain Stream data from AWS S3 to vector store. LangChain 30m Beginner
Hugging Face Datasets Load and search public ML datasets. Python 15m Beginner
Databricks Integration Vectorize datasets using FastEmbed on Databricks. Databricks 30m Intermediate
Airflow & Astronomer Orchestrate data engineering workflows. Airflow 45m Intermediate
Kafka Data Streaming Setup Qdrant Sink Connector for real-time data. Kafka 60m Advanced
No-Code Automation (n8n) Combine Qdrant with low-code n8n workflows. n8n 45m Intermediate

Operations & Scale

Production-grade management, monitoring, and high-volume optimization.

Tutorial Objective Stack Time Level
Bulk Data Uploads High-scale ingestion tricks for power users. Python 20m Intermediate
Snapshot & Backup Create and restore collection snapshots. Python 20m Beginner
Billion-Scale Search Cost-efficient search for LAION-400M datasets. None 2 days Advanced
Python Async API Use Asynchronous programming for efficiency. Python 25m Intermediate
Cloud Inference Search Hybrid search using Qdrant's built-in inference. Any 20m Beginner
Monitor Managed Cloud Observability with Prometheus and Grafana. Prometheus 30m Intermediate
Monitor Private Cloud Observability for hybrid/private cloud setups. Prometheus 30m Intermediate