ChattyDocs

ChattyDocs provides an AI assistant that helps users work with large collections of documents by enabling chat-based interactions over the content. The tool supports uploading files from a device, linking websites, and indexing data so users can query across multiple sources. It also offers controls for model selection and context settings, aiming at users who need to extract information from documents or datasets. The product presents a workflow to prepare data, configure how it is used, and chat with the dataset, with access across desktop, mobile, and Telegram.

Users prepare a dataset by uploading files or providing links, then set properties such as model choice, context size, and the AI’s behavior. They can share datasets via links and use system prompts to shape responses. The system tracks upload usage and allows export of Q&A. It supports persisted chat sessions and context injection for consistent interactions across queries.

The main capabilities include uploading and indexing documents, setting dataset properties, getting replies with sources, exporting answers, sharing datasets, and previewing sessions from various chat sources. It emphasizes source attribution in replies, session persistence, and the ability to provide a chat context to influence queries.

ChattyDocs offers pricing plans with a casual, scale, and enterprise tier, with options for self-hosting for organizations. Plans specify quotas on datasets, documents, Telegram bots, text upload limits, and dataset queries per month, and include API access in higher tiers.

Use cases

• Query over a dataset of documents and websites with sources returned in responses.
• Share a dataset with others via a link.