ChattyDocs

ChattyDocs turns a collection of documents and web content into a conversational knowledge base. Users can assemble datasets from PDFs, text files, or website addresses, then ask questions without manually searching every source. Responses can identify the relevant document and page, making the output easier to inspect and verify.

Highlights

• Organizes multiple documents and web pages into reusable datasets
• Returns answers with references to supporting files, pages, or websites
• Offers controls for the selected model, context allocation, output size, temperature, and system prompt
• Preserves separate chat sessions and supports exporting questions and answers
• Can publish shared datasets, power Telegram bots, and expose API access on qualifying plans

ChattyDocs is suitable for research teams, consultants, support operations, educators, and anyone working with a substantial private document collection. Access is sold through monthly subscriptions, with higher plans expanding dataset, document, query, bot, and API allowances. The introductory option is a limited trial rather than a permanent free plan. Organizations that need greater control can request a Docker-based self-hosted deployment covering the application and supporting data services.