Technology
Qdrant
Qdrant is an open-source, Rust-powered vector database and search engine: it delivers high-performance, scalable similarity search for AI applications.
Qdrant functions as a production-ready vector database, purpose-built in Rust for unmatched speed and reliability, even when processing billions of high-dimensional vectors. It provides a convenient API to store, search, and manage vector embeddings (points) along with optional metadata (payloads). Key features include advanced filtering on those payloads, support for multiple distance metrics (Cosine, Dot Product, Euclidean), and cloud-native scalability. Developers leverage Qdrant for critical AI workloads like Retrieval-Augmented Generation (RAG) systems and large-scale recommendation engines, deploying via Docker, self-hosting, or the managed Qdrant Cloud service.
What builders pair with Qdrant
Projects using both technologies. Select a pairing to see a project.
12 more pairings
Pairing: FastAPI
The Prompt That Worked in Isolation and Died in Production: Eval-Driven Prompt Engineering for a Real-Time Interview Copilot
Pairing: LangChain
Don’t Just Build an App: Build a Playground - Designing flexible, high-growth ecosystems that scale seamlessly.
Pairing: Python
Building Pedagogically-Aligned AI Tutors: A Multi-Agent Framework for Critical Thinking Development
Pairing: AWS Bedrock
No Data for the Witch’s Cauldron: Using Safe, Open-Source AI Chats systems
Pairing: Claude Sonnet 4
The Prompt That Worked in Isolation and Died in Production: Eval-Driven Prompt Engineering for a Real-Time Interview Copilot
Pairing: Docker
VLLM and Qdrant - GPU goes Brrrr!
Recent Talks & Demos
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