next generation vector db built with lmdb bindings
- bincode/serde - serialize/deserialize
- lmdb-rs - database bindings
- ndarray - numpy equivalent
- ort/onnx - embeddings
git clone https://github.com/kn0sys/valentinus && cd valentinus
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 |
- 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/nigel-christian/all-MiniLM-L6-v2_onnx/resolve/main/config.json
wget https://huggingface.co/nigel-christian/all-MiniLM-L6-v2_onnx/resolve/main/model.onnx
wget https://huggingface.co/nigel-christian/all-MiniLM-L6-v2_onnx/resolve/main/special_tokens_map.json
wget https://huggingface.co/nigel-christian/all-MiniLM-L6-v2_onnx/resolve/main/tokenizer_config.json
wget https://huggingface.co/nigel-christian/all-MiniLM-L6-v2_onnx/resolve/main/tokenizer.json
wget https://huggingface.co/nigel-christian/all-MiniLM-L6-v2_onnx/resolve/main/vocab.txt
RUST_TEST_THREADS=1 cargo test
see examples