Self-hosted web scraping service using Cloudflare Workers and Puppeteer.
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Updated
May 13, 2024 - TypeScript
Self-hosted web scraping service using Cloudflare Workers and Puppeteer.
The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.
Multi-Page Generative AI Application and Tools
🔥 Turn entire websites into LLM-ready markdown
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.
MTech Project with collaboration with WNS Global Service, main goal of this project is to achieve two things: firstly, to create a reliable and open-source system that can efficiently extract information from private PDF files, and secondly, to develop a user-friendly web application that utilizes web scraping techniques to gather relevant data.
Index and query any data using LLM and natural language, tracking sources and showing citations.
Natural Language Querying using RAG LLMs with Excel Sheets as the context
JS/TS library to make to easy to build with LLMs. Full support for various LLMs and VectorDBs, Agents, Function Calling, Chain-of-Thought, RAG, Semantic Router and more. Based on the popular Stanford DSP paper. Create and compose efficient prompts using prompt signatures. 🌵 🦙 🔥 ❤️ 🖖🏼
A web UI Project In order to learn the large language model. This project includes features such as chat, quantization, fine-tuning, prompt engineering templates, and multimodality.
Gen-AI Chat for Teams - Think ChatGPT if it had access to your team's unique knowledge.
This is a LLM chatbot coded with LangChain. The web interface is coded with Streamlit. It implements a hybrid RAG (keyword and semantic search) and chat memory.
Optimized local inference for LLMs with HuggingFace-like APIs for quantization, vision/language models, multimodal agents, speech, vector DB, and RAG.
An AI bot with RAG capability for Topics and Chat in Discourse, currently powered by OpenAI
Harness LLMs with Multi-Agent Programming
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