Building a Search-Based Discord Bot with Language Models

This post details the technical implementation of a Discord bot that leverages language models for a search-based user experience. It describes how to integrate a Discord bot with a language model API to enable natural language querying of information. The bot's architecture involves receiving user messages, processing them with an LLM to understand intent and extract search queries, and then performing a search against a knowledge base. The results are then formatted and returned to the user via Discord. Key technical aspects include prompt engineering for intent recognition and query generation, handling Discord API interactions, and managing the LLM inference process for responsiveness. The post highlights the challenges of balancing LLM capabilities with real-time user interaction and the trade-offs involved in designing a user-friendly, AI-powered search interface within a chat environment.