the AI-native open-source embedding database
-
Updated
Jun 13, 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
A tiny embedding database in pure Rust.
Build production-ready backends in minutes
Library to generate vector embeddings, reranking. Based on Qdrant's FastEmbed.
finalfusion embeddings in Rust
Context-sensitive word embeddings with subwords. In Rust.
open source tooling for AI search and understanding
Neural network transition-based dependency parser (in Rust)
Proxy server for triton gRPC server that inferences embedding model in Rust
Use HuggingFace's Candle with Go.
Read/write word2vec and GloVe embeddings in Rust
An async client library for GCP Vertex AI Generative models
finalfusion command-line utilities
A vector database for querying meaningfully similar data.
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."