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Open Source Perplexity Alternatives

A curated collection of the 1 best open source alternatives to Perplexity.

The best open source alternative to Perplexity is Khoj. If that doesn't suit you, we've compiled a ranked list of other open source Perplexity alternatives to help you find a suitable replacement.

Perplexity alternatives are mainly AI Tools but may also be Workflow Automation Tools or Productivity Tools. Browse these if you want a narrower list of alternatives or looking for a specific functionality of Perplexity.

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An open-source personal AI application that helps you find answers, understand documents, and create new content with ease.

Screenshot of Khoj website

Khoj AI is revolutionizing the way we interact with information and manage our digital lives. This powerful, open-source personal AI application serves as your second brain, offering a range of features designed to enhance your productivity and decision-making processes.

Key features:

  • Can understand PDFs, images, plaintext notes
  • Connected to the internet. Get fresh information and scrape web pages.
  • Create automations to get notified about world events, create custom newsletters
  • Custom Agents with personas, custom knowledge bases and tool
  • Support for speech to text, text to speech, vision
  • Access to latest, state of the art models (Llama, Claude, GPT)

If you self-host Khoj, you get support for:

  • 100% offline embeddings and inference if desired (i.e., no internet required). You can use any LLM of choice off of Huggingface.
  • 100% offline speech to text
  • Support web-scraping with the public URL's you provide, even if you're self-hosted
  • Can customize your models with any OpenAI API-compatible server, including Ollama.

Khoj AI stands out with its commitment to transparency, allowing users to trace the AI's reasoning and minimize hallucinations. The platform's ability to generate custom newsletters, provide timely research, and offer event-based notifications makes it an invaluable tool for professionals and researchers alike.

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