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The Supabase for RAG - R2R lets you build, scale, and manage user-facing Retrieval-Augmented Generation applications in production.
A modular graph-based Retrieval-Augmented Generation (RAG) system
Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 ,Agents.
Enhanced ChatGPT Clone: Features OpenAI, Assistants API, Azure, Groq, GPT-4 Vision, Mistral, Bing, Anthropic, OpenRouter, Vertex AI, Gemini, AI model switching, message search, langchain, DALL-E-3,…
🪢 Open source LLM engineering platform: Observability, metrics, evals, prompt management, playground, datasets. Integrates with LlamaIndex, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents
converts url content into JSON with a simple prefix
Test and evaluate LLMs and model configurations, across all the scenarios that matter for your application
Helper tools to analyze the " Financial Statement Data Sets" from the U.S. securities and exchange commission (sec.gov)
Projects from my TailwindCSS course
Top2Vec learns jointly embedded topic, document and word vectors.
Modern JavaScript Tutorial
family tree visualization built on top of d3
Script to scrape free and premium Substack posts, saving them as Markdown files. Also generates HTML interfaces to allow you to browse and sort the markdown files for each author.
Discover Healthsearch: Unlocking Health with Semantic Search ✨
SGLang is yet another fast serving framework for large language models and vision language models.
Demo of AI chatbot that predicts user message to generate response quickly.
#1 Locally hosted web application that allows you to perform various operations on PDF files
The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
Enable AI powered semantic search on your documents, easy to install, simple to configure,handles multiple file formats (txt,csv, pdf, docx,pptx, docx)
Programmatically collect normalized news from (almost) any website.
Official code repository for "Exploring Neural Models for Query-Focused Summarization".
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.