ChatWithDocs.co provides a powerful API that allows you to interact with various document formats like PDF, DOCX, DOC, PPTX, and TXT. With this API, you can ask questions, extract information, and receive answers with cited sources, making it easier to interact with documents programmatically. This tool is perfect for developers looking to integrate document interaction capabilities into their applications.

Chat Document is a cutting-edge tool designed for users to interact with documents like never before. This application leverages advanced AI technology to understand and respond to user queries, making it easy to retrieve information or summaries from various document types. Users can simply upload their files and initiate a chat, asking specific questions or requesting summaries of long texts. It's perfect for students, professionals, and anyone who frequently deals with document-heavy tasks and needs efficient information retrieval.

AgentGateway provides a developer-focused environment for creating multi-agent AI applications. It supports distributed agent orchestration, plugin integration, and secure access control. With built-in connectors for vector databases, REST/gRPC APIs, and common services like Slack and Notion, agents can query documents, execute business logic, and generate responses autonomously. The platform includes monitoring, logging, and role-based access controls, making it easy to deploy scalable, auditable AI solutions across enterprises.

AskAtlasAI-Agent empowers developers to deploy AI agents that answer natural language queries against any document set stored in MongoDB Atlas. It orchestrates LLM calls for embedding, search, and response generation, handles conversational context, and offers configurable prompt chains. Built on JavaScript/TypeScript, it requires minimal setup: connect your Atlas cluster, supply OpenAI credentials, ingest or reference your documents, and start querying via a simple API. It also supports extension with custom ranking functions, memory backends, and multi-model orchestration.