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Khoj
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Khoj Verified Tool

Khoj is an open-source personal AI for searching notes, chatting with documents, using models, and running assistants locally or through hosted services. Users should configure connectors carefully, protect private knowledge, verify citations, and control model and infrastructure costs.

Last Update: August 20, 2026

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Starting price Free open source + paid cloud

Tool Information

Khoj is an open-source personal AI for searching notes, chatting with documents, using models, and running assistants locally or through hosted services. Users should configure connectors carefully, protect private knowledge, verify citations, and control model and infrastructure costs.

Start with a limited, reversible test using only authorized and necessary inputs. Configure privacy, age or audience settings, access, quality, export, and spending controls; compare output with original sources and representative examples; correct errors; and keep a responsible person in control before publishing, purchasing, submitting, deploying code, or making consequential decisions.

The self-hosted open-source software is free. Hosted cloud and model usage may have paid limits or subscriptions, while infrastructure costs apply to self-hosting.

AI output and automation can be inaccurate, biased, incomplete, unsafe, stale, or misleading, while services may process confidential, copyrighted, personal, biometric, health, financial, educational, or adult data. Check consent, age requirements, retention, model-training, licenses, platform rules, renewal terms, accessibility, and security, and use qualified human review for high-impact work.

F.A.Q (3)

Khoj is an open-source personal AI for searching notes, chatting with documents, using models, and running assistants locally or through hosted services. Users should configure connectors carefully, protect private knowledge, verify citations, and control model and infrastructure costs.

Start with a limited, reversible test using only authorized and necessary inputs. Configure privacy, age or audience settings, access, quality, export, and spending controls; compare output with original sources and representative examples; correct errors; and keep a responsible person in control before publishing, purchasing, submitting, deploying code, or making consequential decisions.

Verified pricing: Free open source + paid cloud. The self-hosted open-source software is free. Hosted cloud and model usage may have paid limits or subscriptions, while infrastructure costs apply to self-hosting.

Pros and Cons

Pros

  • Khoj is an open-source personal AI assistant
  • Natural-language search finds relevant material across a user's knowledge base
  • Chat combines retrieved personal notes with generated explanations
  • Iterative questions let users progressively rediscover connected notes
  • Supported files include PDF; Word; Markdown; plain text; and Org mode
  • Notion pages can be synchronized into the indexed knowledge collection
  • GitHub repositories are supported as another context source
  • Incremental search returns results while the user types
  • Self-hosting keeps search and indexing within the user's private network
  • Local model support allows chat without an internet connection
  • Cloud hosting provides access without maintaining a personal server
  • The modular architecture supports additional models; sources; and frontends
  • Clients include web; desktop; Obsidian; and Emacs
  • A progressive web app brings quick mobile browser access
  • Users can drag individual documents directly into a web chat
  • Commercial models from OpenAI; Anthropic; or Gemini can be configured when preferred

Cons

  • Self-hosting requires Docker or Python deployment; configuration; upgrades; and backups
  • Local models require downloads; memory; compute; and performance tuning
  • Cloud use sends indexed personal information to an external hosted service
  • Commercial model providers can receive retrieved note excerpts with each relevant prompt
  • Notion and GitHub synchronization expands the credential and permission footprint
  • PDF and Word parsing may lose layout; tables; or scanned text
  • Retrieval can omit the decisive passage or surface an obsolete note
  • Generated answers may blend personal records with unsupported model knowledge
  • Internet search can introduce low-quality or malicious sources into an answer
  • The web client uploads documents one at a time
  • Desktop or editor clients are needed for continuous folder synchronization
  • WhatsApp access introduces a separate messaging-provider privacy dependency
  • Self-host administrators must set strong secrets rather than keeping sample defaults
  • A local installation still needs network protection if exposed beyond localhost
  • Index refresh and embedding changes can consume time on large archives
  • Khoj improves recall but does not replace source inspection for legal; medical; financial; or factual decisions

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