Showing 1-20 of 39 projects
AI Agent platform for building workflows with LLMs and RAG
AI orchestration framework for building LLM applications with pipelines and agents
An open-source question-answering tool that leverages large language models to provide answers to any query.
A Go-based framework for deep document understanding, semantic retrieval, and context-aware question answering using the RAG paradigm.
Easy-to-use and powerful LLM and SLM library with awesome model zoo for natural language processing.
Large-scale Chinese natural language processing corpus for training and fine-tuning language models
A production-ready AI retrieval system with a RESTful API, built using Agentic Retrieval-Augmented Generation (RAG).
An open-source library for deep learning end-to-end dialog systems and chatbots.
An open-source knowledge graph for the agriculture domain, enabling information retrieval, named entity recognition, relation extraction, and question answering.
A Python library that provides a simple interface for using popular NLP models like BERT, GPT-2, XLNet, and T5 for various tasks.
Build and auto-optimize LLM applications with AdalFlow, a Python library.
A platform for developers to integrate ChatGPT with a custom knowledge base using the OP Stack (OpenAI + Pinecone Vector Database)
A repository for training a small-parameter Chinese LLaMa2 model with simple question-answering capabilities.
AnyQ is a FAQ-based question answering system for building chatbots and dialogue systems.
The Alan AI SDK for Web provides a self-coding system for building AI-powered voice and conversational experiences in web apps.
This GitHub repository provides a Bootcamp for dealing with unstructured data like reverse image search, audio search, and NLP.
A Python library for building question-answering systems on top of Notion data.
DPR is an open-domain Q&A tool that uses dense passage retrieval to improve performance on question-answering tasks.
Self-contained Machine Learning and Natural Language Processing library in Go
A collection of datasets and state-of-the-art results for various Chinese NLP tasks.
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