valentinus 1.1.2

A thread-safe vector database for model inference inside LMDB.
Documentation

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valentinus

A thread-safe vector database for model inference inside LMDB.

dependencies

  • bincode/serde - serialize/deserialize
  • lmdb-rs - database bindings
  • ndarray - numpy equivalent
  • ort/onnx - embeddings

getting started

git clone https://github.com/kn0sys/valentinus && cd valentinus

optional environment variables

var usage default
LMDB_USER working directory of the user for database $USER
LMDB_MAP_SIZE Sets max environment size, i.e. size in memory/disk of all data 20% of available memory
ONNX_PARALLEL_THREADS parallel execution mode for this session 1
VALENTINUS_CUSTOM_DIM embeddings dimensions for custom models all-mini-lm-6 -> 384
VALENTINUS_LMDB_ENV environment for the database (i.e. test, prod) test

tests

  • Note: all tests currently require the all-MiniLM-L6-v2_onnx directory
  • Get the model.onnx and tokenizer.json from huggingface or build them
mkdir all-MiniLM-L6-v2_onnx
cd all-MiniLM-L6-v2_onnx && wget https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2/resolve/main/config.json
wget https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2/resolve/main/onnx/model.onnx
wget https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2/resolve/main/special_tokens_map.json
wget https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2/resolve/main/tokenizer_config.json
wget https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2/resolve/main/tokenizer.json
wget https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2/resolve/main/vocab.txt

cargo test

examples

see examples

reference

inspired by this chromadb python tutorial