Lists (1)
Sort Name ascending (A-Z)
Stars
Curated list of datasets and tools for post-training.
This is the official implementation of NeurIPS 2021 "One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval".
A large-scale multilingual dataset for Information Retrieval. Thorough human-annotations across 18 diverse languages.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
Download your Spotify playlists and songs along with album art and metadata (from YouTube if a match is found).
A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.
RAG Citation enhances Retrieval-Augmented Generation (RAG) by automatically generating relevant citations for AI-generated content. It ensures credibility by backing responses with accurate referen…
Effortlessly run LLM backends, APIs, frontends, and services with one command.
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
Interactively explore unstructured datasets from your dataframe.
Open-source vector similarity search for Postgres
BM25 search implemented in PL/pgSQL
Generic rag framework to apply the power of LLMs on any given dataset
Attribute (or cite) statements generated by LLMs back to in-context information.
Cache-Augmented Generation: A Simple, Efficient Alternative to RAG
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
JS tokenizer for LLaMA 3 and LLaMA 3.1
<textarea /> component for React which grows with content
AWS Certified Cloud Practitioner Short Notes And Practice Exams (CLF-C02)
Completely unstyled, fully accessible UI components, designed to integrate beautifully with Tailwind CSS.
Radix Themes is an open-source component library optimized for fast development, easy maintenance, and accessibility. Maintained by @workos.