Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
- neural-network
- search-engine
- knn-algorithm
- hnsw
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Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
A SQL database in Rust: SQLite-compatible, now also speaking Postgres (experimental). The LLVM of databases.
📊 Cube Core is open-source semantic layer for AI, BI and embedded analytics
A vector index built on TurboQuant, written in Rust with Python bindings
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
the champagne of beta embedded databases
Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..
Postgres with GPUs for ML/AI apps.
An embedded key-value database in pure Rust
RuVector provides High Performance, Real-Time decisions and agent memory , Self-Learning Ai, Vector GNN DB built in Rust.
A transactional, relational-graph-vector database that uses Datalog for query. The hippocampus for AI!
A cloud native embedded storage engine built on object storage.
All-in-one platform for search, recommendations, RAG, and analytics offered via API
🗻 Log-structured, embeddable key-value storage engine written in Rust
Written by humans. WTX is a collection of different transport implementations and related tools focused primarily on web technologies.