5-Minute RAG with DeepSeek
Build a five-minute RAG pipeline pairing Qdrant vector search with the DeepSeek LLM to enrich prompts with retrieved context.
Python · DeepSeek
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Agentic RAG with CrewAI
Combine Qdrant vector search with CrewAI agents and Streamlit to extract insights from meeting transcripts and recordings.
Python · CrewAI · Streamlit
Agentic RAG with LangGraph
Build an agentic RAG system with LangGraph and Qdrant that orchestrates multi-step retrieval, web search, and tool selection.
Python · LangGraph
Async API
Build high-throughput, concurrent applications on Qdrant with the async Python client and ASGI-style web frameworks.
Python
Blog-Reading Chatbot with GPT-4o
Build a blog-reading RAG chatbot with Qdrant Hybrid Cloud on Scaleway, LangChain, and OpenAI for grounded answers over your own content.
LangChain · OpenAI · Scaleway
Blue-Green Cluster Deployment
Deploy changes to Qdrant with zero production risk using a blue-green cluster strategy: build and test on a new cluster, then switch traffic over.
Python
Branch-Aware Search
Scope search to a version-controlled branch in Qdrant so a query returns that branch's live view, inherited from its ancestors.
Python
Build a Hybrid Search API
Build a hybrid search service with Qdrant and FastEmbed by combining dense and sparse embeddings behind a FastAPI endpoint.
Python · FastEmbed · FastAPI
Build a Semantic Search API
Build a neural semantic search service on Qdrant using sentence-transformer embeddings and a FastAPI search endpoint.
Python · FastAPI
Building a Chain-of-Thought Medical Chatbot with Qdrant and DSPy
Build a trustworthy medical chatbot with Qdrant and DSPy, combining RAG, dense vectors, and ColBERT multivector retrieval for grounded answers.
Python · DSPy
Chat With Product PDF Manuals Using Hybrid Search
Build a PDF-manual chatbot with Qdrant Hybrid Cloud, LlamaIndex, and Jina embeddings, using hybrid search to answer product-support questions.
Python · LlamaIndex · Jina
Collaborative Filtering
Build an effective movie recommendation system using collaborative filtering and Qdrant's similarity search.
Python
Compressed Multivector Search
Combine the turbo4 datatype with multivector late interaction to cut on-disk vector size at a bounded recall cost.
Python
Data Migration
Migrate vector data into Qdrant from Pinecone, Weaviate, Chroma, or other Qdrant clusters using the Qdrant Migration Tool.
Migration Tool
Deterministic Collection Slicing
Split a Qdrant collection into disjoint, deterministic subsets with the slice filter for parallel scroll and reproducible sampling.
Python
Discord RAG Bot
Build an agentic RAG Discord bot powered by Qdrant vector search, CAMEL-AI agents, and OpenAI embeddings for context-aware answers.
Python · CAMEL-AI
GPU-Accelerated HNSW Indexing
Speed up HNSW index builds with GPU acceleration on Qdrant Cloud, and measure the effect on indexing time, query latency, and cost.
Python · Qdrant Cloud
GraphRAG with Qdrant and Neo4j
Integrating Qdrant and Neo4j for Graph Retrieval-Augmented Generation (GraphRAG) with structured and unstructured data.
Python · Neo4j
Hugging Face Dataset Ingestion
Load Hugging Face datasets directly into Qdrant collections, including precomputed embeddings, with batched uploads and streaming.
Python · Hugging Face
Hybrid Search
Step-by-step tutorial: build hybrid search in Qdrant combining dense semantic and sparse keyword retrieval with reciprocal rank fusion.
Python · Cloud Inference
Hybrid Search with Reranking
Combine dense, sparse, and late-interaction embeddings in Qdrant to build hybrid search with reranking for high-precision results.
Python · FastEmbed
Implement Cohere RAG connector
Implement a custom Cohere RAG connector backed by Qdrant to expose your collections to Cohere LLMs with inline citations.
Python · Cohere
Incremental Embedding Updates
Sync embeddings with raw text data that changes over time.
Python
Indexing Payloads of Random Shape
Index open-ended payloads whose keys are data in Qdrant, using a nested filter over a fixed key-value array instead of one index per key.
Python
Large-Scale Search
Index and search hundreds of millions of vectors in Qdrant cost-efficiently with minimal hardware and tuned configuration.
Python
Measuring ANN Recall
Compare approximate search with exact results, inspect ANN recall in the Web UI, and add a repeatable Python check.
Python · Web UI
Migrate to a New Embedding Model
Migrate a Qdrant collection to a new embedding model with zero downtime using a blue-green dual-collection strategy.
Python
Movie Recommendation System
Build a movie recommendation system on OVHcloud with Qdrant Hybrid Cloud and sparse vectors using collaborative filtering over user preferences.
Python · OVHcloud
Multi-Representation Search
Combine title, summary, and chunk vectors in one retrieval pipeline, then compare the effect of each representation.
Python · FastEmbed
Multimodal Search
Build a multimodal, multilingual vector earch application with Cohere Embed 4.0 and Qdrant Cloud Inference that searches across image and text modalities.
Python · Cohere · Cloud Inference
Multitenancy with LlamaIndex
Set up multitenancy in LlamaIndex with Qdrant using payload-based partitioning to keep each user's data fully isolated in one collection.
Python · LlamaIndex
Multivector Document Retrieval
Optimizing PDF retrieval at scale with Qdrant and Vision Large Language Models (VLLMs) such as ColPali and ColQwen.
Python · ColPali
Multivectors and Late Interaction
Use multivector representations and late interaction reranking in Qdrant to improve precision without exploding RAM or insert times.
Python · FastEmbed
n8n Workflow Automation
Automate Qdrant workflows in n8n: build no-code pipelines for vector search, recommendations, and unstructured data analysis.
n8n
Prevent Unoptimized Usage
Defer visibility of unindexed points to stop bulk uploads from slowing down search.
Python
Private Chatbot for Interactive Learning
Build a fully private interactive learning chatbot with Qdrant Hybrid Cloud, Haystack, and an open-source LLM running on Red Hat OpenShift.
Haystack · OpenShift
Private RAG Information Extraction Engine
Run a private information-extraction engine on Vultr with Qdrant Hybrid Cloud, DSPy, and Ollama to structure unstructured documents on-premises.
DSPy · Ollama · Vultr
Question-Answering System for AI Customer Support
Build a private customer-support QA system on AWS using Qdrant Hybrid Cloud, Cohere, and Airbyte to keep ticket data inside your infrastructure.
Cohere · Airbyte · AWS
RAG System for Employee Onboarding
Build an employee onboarding RAG assistant on Oracle Cloud using Qdrant Hybrid Cloud, Cohere, and LangChain for natural-language access to internal docs.
LangChain · Cohere · Oracle Cloud
Region-Specific Contract Management System
Build a region-specific contract management RAG system on STACKIT with Qdrant Hybrid Cloud and Aleph Alpha for GDPR-compliant document search.
Aleph Alpha · STACKIT
Relevance Feedback Retrieval in Qdrant
Add relevance feedback to a Qdrant retriever to nudge search toward more relevant results across the entire vector space.
Python
S3 Ingestion with LangChain
Stream documents from AWS S3 into Qdrant with LangChain to build a vector ingestion pipeline for unstructured data.
Python · LangChain · AWS
Scaling and Monitoring Hybrid Cloud
Scale CPU, memory, and disk for Qdrant Hybrid Cloud clusters and monitor pod resource usage.
Kubernetes · Qdrant Hybrid Cloud
Secure a Self-Hosted Qdrant Instance
Harden a self-hosted Qdrant deployment with TLS, an Admin API key, a Read-Only key, and Granular Access Control.
Docker
Securing and Exposing a Hybrid Cloud Cluster
Authentication and TLS management for Qdrant Hybrid Cloud clusters
Kubernetes · Qdrant Hybrid Cloud
Semantic Search 101
Run your first semantic search on Qdrant Cloud: create a cluster, upload a small dataset, and query by meaning instead of keywords.
Python · Cloud Inference
Semantic Search 101
Build a semantic search engine locally with Qdrant in five minutes using sentence-transformer embeddings and the Python SDK.
Python · Sentence Transformers
Semantic Search for Code
Build a semantic code search engine on Qdrant using natural-language and code-to-code embeddings for navigating large codebases.
Python · FastEmbed
Snapshots
Back up and restore Qdrant collections with snapshots across single-node and distributed multi-node clusters.
Python
Static Embeddings
Use static embeddings in Qdrant for fast, low-resource semantic search with minimal quality trade-offs versus transformer models.
Python
Time-Based Sharding
Implement time-based sharding in Qdrant to route fast-moving data by timestamp and prune old shards without expensive re-indexing.
Python
Video Anomaly Detection Part 1: Architecture, Twelve Labs, and NVIDIA VSS
Architect a real-time video anomaly detection system on Qdrant Edge with Twelve Labs video intelligence and NVIDIA Metropolis VSS.
Qdrant Edge · Twelve Labs
Video Anomaly Detection Part 2: Edge-to-Cloud Pipeline
Build the edge-to-cloud pipeline for video anomaly detection using Qdrant Edge shards, snapshot sync, and offline-capable kNN search.
Qdrant Edge · Twelve Labs
Video Anomaly Detection Part 3: Scoring, Governance, and Deployment
Score, govern, and deploy a video anomaly detection system on Qdrant Edge with incident formation and baseline protection.
Qdrant Edge · Twelve Labs