We have hosted the application qdrant in order to run this application in our online workstations with Wine or directly.
Quick description about qdrant:
Qdrant is a vector similarity engine & vector database. It deploys as an API service providing search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more! Provides the OpenAPI v3 specification to generate a client library in almost any programming language. Alternatively, utilize ready-made client for Python or other programming languages with additional functionality. Implement a unique custom modification of the HNSW algorithm for the Approximate Nearest Neighbor Search. Search with a State-of-the-Art speed and apply search filters without compromising on results. Support additional payload associated with vectors. Not only stores payload but also allows filter results based on payload values. Unlike Elasticsearch post-filtering, Qdrant guarantees all relevant vectors are retrieved.Features:
- Easy to Use API
- Fast and Accurate
- Rich data types
- Effectively utilizes your resources. Developed entirely in Rust language
- Cloud-native and scales horizontally
- Hardware-aware builds are also available for Enterprises
Programming Language: Rust.
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