#ChatBot

Discover how to integrate advanced AI with the CVP Stack (ChatGPT, Vector database, Prompt-as-Code) for building knowledge-enhanced ChatBots. This project illustrates a semantic search-based system that improves ChatGPT's functionality by accessing pertinent data ahead of query handling. It supports multiple platforms, such as Towhee and LangChain, offering a choice of LLM services and database integrations for tailored solutions. Comprehensive documentation assists in setup, deployment, and data management, enabling meaningful AI-powered dialogs.

Discover how to create a custom chatbot using OpenAI, TypeScript, LangChain, and Pinecone, designed to enhance retrieval from Notion databases. This guide presents detailed development steps, including project setup, Notion export integration, and cloud deployment using Vercel. With Pinecone's efficient data embedding and retrieval capabilities, the project facilitates easy access to Notion-stored information, offering a sophisticated, AI-driven solution for managing professional knowledge bases.

The application supports diverse AI models like GPT, Gemini Pro, and Cohere, focusing on data privacy by ensuring local data storage. Its features include a responsive interface with dark mode, voice and extensive conversation capabilities, picture creation, and a ChatGPT Code interpreter. Compatible with iOS, Android, macOS, and Telegram, it supports multiple languages, including English, Simplified Chinese, Japanese, and Korean, offering a secure platform for advanced AI interactions.