Vector Search Database for the new AI generation.

Technologies
python, javascript, rust
Topics
databases, machine learning, Search Engines
Vector Search Database for the new AI generation.
Qdrant is powering the next generation of AI applications with advanced and high-performant vector similarity search technology. Our main project is the Vector Search Engine and Database. It is open-source and written in Rust 🦀. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more!

Projects

Contributor
kartik-gupta-ij
Mentor
Andrey Vasnetsov
Organization
Qdrant
Web UI for visualization and exploration 📊
Problem: Qdrant, a vector search engine used for similarity search and clustering, lacks the necessary functionality to effectively visualize and...
Contributor
Zein
Mentor
Arnaud Gourlay
Organization
Qdrant
Geo Filtering by Polygon or Multipolygon
At present, selecting a radius or bounding box to cover a desired region and then filtering the retrieved points is a viable option for narrowing...