Content Summarizer with AI Agents orchestrates a sequence of specialized AI agents to streamline content summarization workflows. A FetchAgent retrieves text from URLs or local files, while a PreprocessingAgent cleans and segments content. A SummarizationAgent generates concise summaries for each segment using GPT models, and a FeedbackAgent iteratively refines the output for coherence and relevance. The tool supports customization of summary length and tone, handles long documents through chunking, and produces final summaries in plain text or JSON formats. It requires a valid OpenAI API key and runs in a standard Python environment.

Query-Bot integrates document ingestion, text chunking, and vector embeddings to build a searchable index from PDFs, text files, and Word documents. Using LangChain and OpenAI GPT-3.5 Turbo, it processes user queries by retrieving relevant document passages and generating concise answers. The Streamlit-based UI allows users to upload files, track conversation history, and adjust settings. It can be deployed locally or on cloud environments, offering an extensible framework for custom agents and knowledge bases.