the AI-native open-source embedding database

The Memory layer for your AI apps

The open source Firebase alternative. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.

Interact, analyze and structure massive text, image, embedding, audio and video datasets

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, and PyTorch with more integrations coming..

🍱 semantic-chunking ⇢ semantically create chunks from large document for passing to LLM workflows

Axis Tour: Word Tour Determines the Order of Axes in ICA-transformed Embeddings

💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

An awesome & curated list of resources for valuable insights on AI interfaces, and relevant products

Bringing Generative AI to the way the Civil Service works

code for training & evaluating Contextual Document Embedding models

PostgreSQL vector database extension for building AI applications

AI-data warehouse to enrich, transform and analyze unstructured data

A python library for self-supervised learning on images.

This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models

llama.cpp (GGUF LLMs) and llava.cpp (GGUF VLMs) for ROS 2

Java version of LangChain

Fast, Accurate, Lightweight Python library to make State of the Art Embedding

A compute framework for building Search, RAG, Recommendations and Analytics over complex (structured+unstructured) data, with ultra-modal vector embeddings.

This repository is my platform to learn, experiment, and innovate with LLMs. Here I try to dive in and discover diverse applications, research experiments, and projects fueled by the power of language models.