Hanky
Make your own context-aware LLM with ease. Just upload a URL
Hanky launched on May 14, 2025 with 5 votes. The site was still online in September 2026, 1 year on.
What it does
Hanky builds a custom rag with just a URL. Upload papers, documents, articles, or any website to give context to your LLM in seconds. Using Hanky improves accuracy and precision in LLM responses, guaranteeing better and more relevant answers.
Hanky offers a cutting-edge solution for creating context-aware Large Language Models (LLMs) using Retrieval Augmented Generation (RAG). Easily upload your documents, data sources, or website URLs. Our intelligent crawling technology processes your information, enabling the LLM to provide accurate, reliable, and contextually relevant answers. Keywords: LLM, RAG, Retrieval Augmented Generation, context-aware AI, custom LLM, AI chatbot, data processing, document upload, URL crawling, natural language processing, AI-powered search, enterprise AI, knowledge base AI, AI for documents, information retrieval, AI content generation, custom AI models, AI data analysis, intelligent document…from curranjrobertson.github.io
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