Transformers 3rd Edition
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Updated
Jun 1, 2024 - Jupyter Notebook
Transformers 3rd Edition
NL2SQL-Converter transforms natural language sentences from any language into SQL queries, simplifying database interactions. Powered by PostgreSQL and Anthropic's Large Language Model, it offers seamless and intuitive query generation for users of all SQL proficiency levels.
Minimalist web-searching app with an AI assistant that runs directly from your browser. Uses Web-LLM, Ratchet-ML, Wllama and SearXNG. Demo: https://felladrin-minisearch.hf.space
⚡FlashRAG: A Python Toolkit for Efficient RAG Research
Simple Text Embedding, Retrieval, Rerank and RAG
Harness LLMs with Multi-Agent Programming
A tailored Chatbot to reduce hallucinations and improve factuality.
Your GenAI RAG-based Wikipedia Virtual Agent
RAG Backend for Aleph Alpha LLMs.
The AI-native database built for LLM applications, providing incredibly fast full-text and vector search
🔍 LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
The framework for fast development and deployment of RAG systems.
Build a RAG app from scratch using Chroma and the ChatGPT API
🧑🚀 全世界最好的中文LLM资料总结
AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.
Gemini Pro LLM and Pinecone Vector Database for fast and performant Retrieval Augmented Generation (RAG) with LlamaIndex
All-in-one infrastructure for building search, recommendations, and RAG. Trieve combines search language models with tools for tuning ranking and relevance.
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
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