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Qwen3-Embedding-0.6B is fast, high quality, and supports up to 32k tokens. Beats OpenAI embeddings on MTEB
[R] Has anyone experimented with using Euclidean distance as a probability function instead of cosine distance?
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lance
Modern columnar data format for ML and LLMs implemented in Rust. 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..
llama_index
LlamaIndex is the leading framework for building LLM-powered agents over your data.
kuzu
Embedded property graph database built for speed. Vector search and full-text search built in. Implements Cypher.
milvus
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
meilisearch
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
qdrant
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/