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Iask

📝 Text & Writing ✍️ Text Generation 📄 Text Summarization 📚 Education & Research 🔬 Research Discontinued · Mar 09, 2026

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iAsk is an open-source, self-hostable LLM frontend designed for secure and private Q&A over personal data. It enables users to interact with their documents and web links using large language models without ever sending sensitive information to third-party cloud services. Ideal for individuals and organizations prioritizing data privacy, iAsk offers complete control over data and LLM choices, supporting both local models and various API-based LLMs. Its architecture ensures confidential information retrieval and knowledge management within a secure, user-managed environment, providing a robust solution for privacy-centric AI interactions.

10 views 0 comments Published: Dec 20, 2025

Why was this tool discontinued?

Automatically marked inactive after 7 consecutive failed health checks (last error: DNS resolution failed)

What It Does

iAsk functions as a secure gateway for users to leverage the power of large language models on their private data. It allows uploading various document types (PDFs, DOCX, TXT) or providing web links, which are then processed and indexed locally. Users can then ask natural language questions, and iAsk, utilizing a configured LLM, retrieves and synthesizes answers directly from the indexed content, all while keeping the data on the user's local infrastructure, ensuring data sovereignty.

Pricing

Pricing Type: Free
Pricing Model: Free

Pricing Plans

Self-Hosted
Free / one-time

Download and run the software on your own server for free.

  • Open-source software
  • Private data handling
  • LLM integration
  • Q&A from files/links

Key Features

iAsk provides robust features centered around privacy and flexibility, allowing users to query diverse data sources securely. It supports a wide array of document formats and offers an integrated web scraper for dynamic content. The platform's open-source nature ensures transparency and customizability, while its compatibility with various LLMs—from local models like Ollama to commercial APIs—caters to different performance and privacy needs. A local vector database powers efficient, private information retrieval.

Target Audience

Privacy-conscious individuals, researchers, and small teams needing to securely query their documents and online resources using AI.

Value Proposition

Offers a private and controllable environment for AI-powered data interaction, ensuring sensitive information remains confidential while leveraging LLM capabilities.

Use Cases

Securely researching personal archives, extracting insights from private documents, summarizing web content, and academic information retrieval.

Frequently Asked Questions

Yes, Iask is completely free to use. Available plans include: Self-Hosted.

iAsk functions as a secure gateway for users to leverage the power of large language models on their private data. It allows uploading various document types (PDFs, DOCX, TXT) or providing web links, which are then processed and indexed locally. Users can then ask natural language questions, and iAsk, utilizing a configured LLM, retrieves and synthesizes answers directly from the indexed content, all while keeping the data on the user's local infrastructure, ensuring data sovereignty.

Iask is best suited for Privacy-conscious individuals, researchers, and small teams needing to securely query their documents and online resources using AI..

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