Open-source vector database and semantic search engine.

Try out the data migration tool
3:43
Try out the data migration tool
Introducing Qdrant's Official n8n Node: Hybrid Search Example
10:38
Introducing Qdrant's Official n8n Node: Hybrid Search Example
Vector Space Talk: How Qdrant helped Razroo Scale Synthetic Data Generation
28:57
Vector Space Talk: How Qdrant helped Razroo Scale Synthetic Data Generation
Vector Space Talk: Video Recommendations with Twelve Labs
45:23
Vector Space Talk: Video Recommendations with Twelve Labs
Exploring Qdrant Cloud just got easier: recent UI improvements
3:06
Exploring Qdrant Cloud just got easier: recent UI improvements
How to Get Started With Qdrant Cloud
1:53
How to Get Started With Qdrant Cloud
What’s New in Qdrant 1.14: Reranking, Indexing, and Performance Boosts | Office Hours w/ Luis Cossío
30:20
What’s New in Qdrant 1.14: Reranking, Indexing, and Performance Boosts | Office Hours w/ Luis Cossío
Using MCP to Orchestrate AI Agents with OpenAI SDK, AugmentCode, and Qdrant
1:14:11
Using MCP to Orchestrate AI Agents with OpenAI SDK, AugmentCode, and Qdrant
Deep research is just really smart rag w/ Robert Caulk
1:02:20
Deep research is just really smart rag w/ Robert Caulk
GraphRAG with Qdrant & Neo4j: Combining Vector Search and Knowledge Graphs
11:11
GraphRAG with Qdrant & Neo4j: Combining Vector Search and Knowledge Graphs
Load Data to Qdrant: How to Chunk and Vectorize Text in 5 Minutes
5:38
Load Data to Qdrant: How to Chunk and Vectorize Text in 5 Minutes
Finding the Right Embedding Model for Your AI Application with Sentrev
1:13:49
Finding the Right Embedding Model for Your AI Application with Sentrev
Connecting to Qdrant With the n8n Self-Hosted AI Starter Kit
7:28
Connecting to Qdrant With the n8n Self-Hosted AI Starter Kit
How to Securely Expose Qdrant on Hybrid Cloud to External Applications
9:40
How to Securely Expose Qdrant on Hybrid Cloud to External Applications
GPU-Accelerated HNSW Vector Indexing - Ivan Pleshkov | Vector Space Talks #023
18:48
GPU-Accelerated HNSW Vector Indexing - Ivan Pleshkov | Vector Space Talks #023
Building Facial Recognition Systems with Qdrant
45:19
Building Facial Recognition Systems with Qdrant
Optimizing Document Retrieval with ColPali and Qdrant's Binary Quantization
8:47
Optimizing Document Retrieval with ColPali and Qdrant's Binary Quantization
Visualizing Vector Embeddings: Qdrant’s WebUI Graph Tool
1:30
Visualizing Vector Embeddings: Qdrant’s WebUI Graph Tool
RAG Movie Recommendations chatbot with Qdrant and n8n
32:09
RAG Movie Recommendations chatbot with Qdrant and n8n
What is RAG? Building Better LLM Systems with Qdrant
4:35
What is RAG? Building Better LLM Systems with Qdrant
How Vector Search Algorithms Work: An Intro to Qdrant
3:29
How Vector Search Algorithms Work: An Intro to Qdrant
Recommendation system with Qdrant and sparse vectors (Collaborative Filtering)
3:55
Recommendation system with Qdrant and sparse vectors (Collaborative Filtering)
Advanced RAG - Self Querying Retrieval
7:34
Advanced RAG - Self Querying Retrieval
Optimize RAG Resource Use With Semantic Cache
8:43
Optimize RAG Resource Use With Semantic Cache
Deploy a Production-Ready Vector Database in 5 Minutes With Qdrant Hybrid Cloud
6:44
Deploy a Production-Ready Vector Database in 5 Minutes With Qdrant Hybrid Cloud
Introducing Qdrant Hybrid Cloud
1:48
Introducing Qdrant Hybrid Cloud
Building Search/RAG for an OpenAPI spec - Nick Khami | Vector Space Talk #022
32:43
Building Search/RAG for an OpenAPI spec - Nick Khami | Vector Space Talk #022
Advancements and Challenges in RAG Systems - Syed Asad | Vector Space Talks #021
36:56
Advancements and Challenges in RAG Systems - Syed Asad | Vector Space Talks #021
Gen AI and Vector Search - Iveta Lohovska | Vector Space Talks #020
26:24
Gen AI and Vector Search - Iveta Lohovska | Vector Space Talks #020
Teaching Vector Databases at Scale - Alfredo Deza | Vector Space Talks #019
35:31
Teaching Vector Databases at Scale - Alfredo Deza | Vector Space Talks #019