Lists (5)
Data Augmentation
Firmware
OpenSearch applications
Code repositories that use OpenSearch to solve a particular problem, like geo-search, vector search for a specific use case etcPRs with LLMs
Auto-create pull requests using LLMsTeaching
University teachingStars
Repository for the course Large Language Models and Generative AI for NLP
Repository for the course Large Language Models and Generative AI for NLP
Repository for the course Large Language Models and Generative AI for NLP
Implementation of wormhole vector traversal idea, proposed by Trey Grainger, using OpenSearch
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
Repository for the course Large Language Models and Generative AI for NLP
An awesome list of all things related to AI and the OpenSearch Project
21 Lessons, Get Started Building with Generative AI
A library for mechanistic interpretability of GPT-style language models
This repository is meant to optimize hybrid search settings for OpenSearch. It covers a grid search approach to identify a good parameter set and a model-based approach that dynamically identifies …
Repository for the course Large Language Models and Generative AI for NLP
ading2210 / doompdf
Forked from ozkl/doomgenericA port of Doom (1993) that runs inside a PDF file
Superlinked is a Python framework for AI Engineers building high-performance search & recommendation applications that combine structured and unstructured data.
Automation for Kubernetes development and testing. Spin up production-like environments for development, testing, and CI on demand. Use the same configuration and workflows at every step of the pro…
Build a RAG (Retrieval Augmented Generation) pipeline from scratch and have it all run locally.
An open-source RAG-based tool for chatting with your documents.
Simple, unified interface to multiple Generative AI providers
Building Large Language Model Applications, Published by Packt
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieval Results in RAG Systems (WWW 2025)
A simple, easy-to-hack GraphRAG implementation
Automatically exported from code.google.com/p/lightweight-java-profiler
Repository for the course Large Language Models and Generative AI for NLP