ragChatbot is a developer-centric framework designed to streamline the creation of Retrieval-Augmented Generation chatbots. It integrates LangChain pipelines with OpenAI or other LLM APIs to process queries against custom document corpora. Users can upload files in various formats (PDF, DOCX, TXT), automatically extract text, and compute embeddings using popular models. The framework supports multiple vector stores such as FAISS, Chroma, and Pinecone for efficient similarity search. It features a conversational memory layer for multi-turn interactions and a modular architecture for customizing prompt templates and retrieval strategies. With a simple CLI or web interface, you can ingest data, configure search parameters, and launch a chat server to answer user questions with contextual relevance and accuracy.

Discord AI Agent leverages the Discord API and OpenAI-compatible LLMs to transform any server into an interactive AI chat environment. Developers can register custom plugins to handle slash commands, message events, or scheduled tasks, while built-in memory storage retains conversation context for coherent multi-turn dialogues. The framework supports asynchronous execution, configurable models, prompt templates, and logging for debugging. By editing a single YAML or JSON configuration, you can define API keys, model preferences, command prefixes, and plugin directories. Its extension-friendly architecture allows adding specialized functionality such as moderation, trivia games, or customer support bots. Whether running locally or deploying on cloud platforms, Discord AI Agent simplifies the process of building flexible, maintainable AI agents for community engagement.