Clarity AI is an AI-powered “search + chat” tool (similar in spirit to a simplified “AI-powered search engine / assistant”) created by Mckay Wrigley — intended to let users ask questions, get answers, and explore information via conversational interface rather than traditional search. The codebase (TypeScript) leverages LLMs / embeddings to process user queries, retrieve relevant data or context, and respond conversationally; this makes it useful as a personal knowledge assistant, research helper, or Q&A front end over arbitrary datasets or web-available info. Because Clarity AI is open-source, developers can adapt the backend or retrieval logic, integrate their own data sources (databases, documents, APIs), and build custom assistants or knowledge bots tailored to their needs. It can serve as a starting platform for building AI-powered internal tools, knowledge bases, or public-facing “smart search” features.
Features
- Conversational search and chat interface powered by LLMs, enabling natural language Q&A over documents or data sources
- Open-source and modular design — developers can plug in their own data sources, APIs, or document stores for custom knowledge bases
- TypeScript implementation and modern web stack — accessible to web developers and easy to integrate in frontend or backend projects
- Useful as a base for building personal or enterprise knowledge assistants, internal tools, or public chat/search front ends
- MIT-licensed, allowing modifications, hosting, and redistribution under standard open-source terms
- Ready-made interface + logic stack — reduces development overhead for building retrieval-augmented chat apps