Python-Based AI Automation Bot Development

Hi, I can build this as a modular Python-based AI automation bot with a clean architecture so that the LLM, RAG/knowledge-base layer, and automation tools remain independent and easy to extend. My proposed implementation: • Python-based core with a simple CLI interface • OpenAI-compatible LLM integration • PDF, DOCX and TXT document ingestion • Document chunking + embeddings + FAISS/Chroma vector search • RAG pipeline for context-aware answers with document/source citations • Modular automation/tool registry for tasks such as file operations, Google Sheets updates, summaries and notifications • Environment-based configuration using .env — no API keys hard-coded • Slash commands / trigger-based automation execution • Clear separation between LLM, retrieval and automation modules • pytest unit tests for the core components • README covering installation, configuration, running the bot and adding new automation tasks I would keep the first version lightweight and local, while structuring the code so additional LLM providers, vector databases and automation tools can be added later without rewriting the core system. I can deliver the initial working version with the RAG pipeline, automation framework, tests and documentation in approximately 5–7 days. I can also provide the project as a clean Git repository with an easy setup process for a fresh machine. Best regards, Parth