Facilitate the creation of graph-based Retrieval-Augmented Generation (RAG), seamless integration with OpenAI to enable advanced data querying and knowledge graph construction.

This repo is for the Linkedin Learning course: Introduction to AI-Native Vector Databases

List of ML file formats

Run any open-source LLMs, such as Llama, Mistral, as OpenAI compatible API endpoint in the cloud.

Jump ReLU

An open source Valkey client library that supports Valkey and Redis open source 6.2, 7.0 and 7.2. Valkey GLIDE is designed for reliability, optimized performance, and high-availability, for Valkey …

React app for inspecting, building and debugging with the Realtime API

Vision agent

Open, Multi-modal Catalog for Data & AI

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.

Fair Housing Guardrail

Modeling, training, eval, and inference code for OLMo

A Benchmark Tool for VectorDB

AI-generated gene editing systems

Generate embeddings from large-scale graph-structured data.

LLM inference in C/C++

Adding guardrails to large language models.

LLM training in simple, raw C/CUDA

A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.

A composable and fully extensible C++ execution engine library for data management systems.

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficie…

Transformer related optimization, including BERT, GPT

S-LoRA: Serving Thousands of Concurrent LoRA Adapters

Serving multiple LoRA finetuned LLM as one

A principled instruction benchmark on formulating effective queries and prompts for large language models (LLMs). Our paper: https://arxiv.org/abs/2312.16171

An Open Standard for lineage metadata collection