{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/b8fb9b43f9b6431290239ed10bb880fc\" frameborder=\"0\" width=\"1728\" height=\"1296\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1296,"width":1728,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1296,"thumbnail_width":1728,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/b8fb9b43f9b6431290239ed10bb880fc-1718893575449.gif","duration":219.167,"title":"nowWiki: Private LLM Integration Options","description":"Hey community, it's Vladimir here 🤩 I'm excited to share an update on our project, nowWiki 🤔 We're working on integrating a private Large Language Model (LLM) to create an automated support agent on our website 🤖\n🤝 The idea is to have a chatbot that can answer questions, provide data, and even create summaries 📊 We're considering two options: DBGPT and private GPT 🤔\n🔍 DBGPT taps into databases and can generate questions and answers, act as a chat agent, render data, and create summaries 📊 It's like having a super smart assistant 🤖\n📊 Private GPT vectorizes documents and allows querying via API or widget 📊 It supports OpenAI API standards and has other cool features 🤩\n🤝 Both options look very attractive for our knowledge database 📚 We're excited to explore these solutions and bring them to life 🎉\n👀 What do you think? Are you as excited as I am? Let's discuss this further in the comments below 💬"}