reasonkit-mem 0.1.2

High-performance vector database & RAG memory layer - hybrid search, embeddings, RAPTOR trees, BM25 fusion, and semantic retrieval for AI systems

reasonkit-mem

There is very little structured metadata to build this page from currently. You should check the main library docs, readme, or Cargo.toml in case the author documented the features in them.

This version has 9 feature flags, 0 of them enabled by default.

default

This feature flag does not enable additional features.

compression

full

local-embeddings

lz4_flex

ndarray

ort

pyo3

python

tokenizers