the AI-native open-source embedding database
-
Updated
Jun 29, 2024 - Rust
the AI-native open-source embedding database
The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.
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, with more integrations coming..
A blazing fast inference solution for text embeddings models
Believe in AI democratization. llama for nodejs backed by llama-rs, llama.cpp and rwkv.cpp, work locally on your laptop CPU. support llama/alpaca/gpt4all/vicuna/rwkv model.
SQL as a Function for Rust
Library to generate vector embeddings, reranking in Rust
A tiny embedding database in pure Rust.
finalfusion embeddings in Rust
Build production-ready backends in minutes
Context-sensitive word embeddings with subwords. In Rust.
Neural network transition-based dependency parser (in Rust)
finalfusion command-line utilities
open source tooling for AI search and understanding
An animal can do training and inference every day of its existence until the day of its death. A forward pass is all you need.
An async client library for GCP Vertex AI Generative models
Proxy server for triton gRPC server that inferences embedding model in Rust
Rustatoskr is a telegram bot written in Rust with the goal creating a generic AI driven bot architecture using a "design by experiment" philosophy.
Use HuggingFace's Candle with Go.
Add a description, image, and links to the embeddings topic page so that developers can more easily learn about it.
To associate your repository with the embeddings topic, visit your repo's landing page and select "manage topics."