question-answering
100 个项目 · ⭐ 96.7kOpen-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
An open source library for deep learning end-to-end dialog systems and chatbots.
AdalFlow: The library to build & auto-optimize LLM applications.
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
Self-contained Machine Learning and Natural Language Processing library in Go
Efficient Retrieval Augmentation and Generation Framework
:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
An LLM-powered advanced RAG pipeline built from scratch
Framework for enhancing LLMs for RAG tasks using fine-tuning.
LLMFlows - Simple, Explicit and Transparent LLM Apps
🔥 Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation 🔥. Our toolkit integrates 40 pre-retrieved benchmark datasets and supports 7+ retrieval techniques, 24+ state-of-the-art Reranking models, and multiple RAG methods.
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