Khoj at a glance.
An open-source AI personal assistant that searches, chats, and organizes your personal data and documents locally or in the cloud.
What matters first about Khoj.
An open-source AI personal assistant that searches, chats, and organizes your personal data and documents locally or in the cloud.
Scores summarize Lorezi's evaluation. Use the dimension breakdown and evidence to understand the trade-offs. See methodology and weighting.
Research evidence is within Lorezi's 90-day freshness window.
Lorezi independently checked this pricing on Oct 01, 2026.
How Khoj performs.
Four consistent dimensions turn the headline score into a transparent product evaluation.
The decision on Khoj.
Where it fits best.
- Developers
- Researchers
- Knowledge Workers
- Privacy-conscious users
- Obsidian power users
Practical jobs to consider.
- Apply Local document indexing in a real workflow
- Find and synthesize information for a project
- Apply AI-powered chat interface in a real workflow
- Connect tools and data across workflows
- Apply End-to-end encrypted cloud sync in a real workflow
- Apply Support for PDF and Markdown files in a real workflow
Strengths and limitations together.
A useful software decision should show what stands out and what deserves caution in the same view.
Where Khoj stands out.
- Strong focus on user data privacy and local processing
- Seamless integration with popular note-taking tools like Obsidian
- Flexible deployment options ranging from local to cloud
- Open-source transparency allows for community auditing
- Powerful semantic search capabilities across disparate file types
What to weigh carefully.
- Initial setup can be complex for non-technical users
- Limited native integrations compared to enterprise-grade tools
- Cloud features require a subscription for full functionality
- Performance depends heavily on local hardware specifications
What can I do with Khoj?
- Apply local document indexing with Khoj
- Find and synthesize relevant information with Khoj
- Apply ai-powered chat interface with Khoj
- Connect this capability to other tools and workflows with Khoj
- Apply end-to-end encrypted cloud sync with Khoj
- Apply support for pdf and markdown files with Khoj
Useful starting prompts.
- Add [approved Markdown and PDF research files] to Khoj, wait for indexing, and test whether natural-language searches return the expected note sections before relying on answers.
- Ask Khoj what [question about project history] can be answered from [uploaded notes]; distinguish source-supported findings from suggestions that require checking originals.
- Use Khoj to find all notes referring to [project codename or alternate spelling], and group matches by document and date instead of inventing missing links.
- Compare [two authorized PDF documents] in Khoj for differences on [topic], checking the cited document passages before writing a final summary.
- Set up Khoj access to [approved Obsidian notes] using the documented integration, and check that private and excluded files are not unintentionally indexed.
- Ask Khoj to prepare a briefing from [Markdown meeting notes] listing confirmed decisions, open questions, relevant people and uncertain owners, with source references when available.
- Test Khoj's natural-language search with [specific technical question] against [stored org-mode notes] and inspect at least three matches for relevant context.
- Use Khoj to answer [research question] from your saved files and public-web context separately; label what came from documents versus internet sources.
Read the full Khoj review.
The long-form editorial review lives on its own page, separate from this concise software profile.
Khoj Review (2026): Features, Pricing, Pros & Cons
Read our expert Khoj review covering features, pricing, pros, cons, performance and alternatives.
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