Vector Databases

BPEmb

by Benjamin Heinzerling

Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)

Chromem Go

by Philipp Gillé

Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.

Contextualized Topic Models

by MilaNLP

A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).

Dingo

by Dingo

A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data, while meeting the requirements of high concurrency and ultra-low latency.

Dot

by alexpinel

Text-To-Speech, RAG, and LLMs. All local!

Eda NLP

by Jason Wei

Data augmentation for NLP, presented at EMNLP 2019

Endee

by Endee.io

AI Search and Intelligence Platform

Gen Cv

by Azure

Vision AI Solution Accelerator

Graph

by cosmos.gl

GPU-based force graph layout and rendering

Infinity

by InfiniFlow

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

Keras-TextClassification

by Macropodus

Macropodus擅长自然语言处理,深度学习与tensorflow,LLM,等方面的知识,Macropodus关注机器翻译,神经网络,知识图谱,语音识别,排序算法,推荐算法,tensorflow,语言模型,nlp,机器学习,人工智能,pytorch,自然语言处理,数据挖掘,分类领域.

Korvus

by PostgresML

The official Korvus Rust SDK