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Khoj

Khoj is an AI-powered Research AI tool — AI personal research assistant. Best for: Research AI. Pricing: Freemium (GateOnAI Score: 49/100).

AI personal research assistant

FreemiumVerified

Provides a conversational interface that searches a user’s own documents, notes, and web bookmarks, then returns concise answers powered by a large language model. The system builds vector embeddings for PDFs, markdown files, and email archives, allowing semantic matching rather than keyword lookup. Users can run the service locally or on a hosted instance, keeping sensitive research data out of third‑party clouds. The free tier includes unlimited indexing and basic chat, while paid upgrades add priority LLM access and team collaboration features. It also supports batch import via command‑line, simplifying large‑scale knowledge migration. Integrates with VS Code, Obsidian, and a browser extension, so queries can be launched from the editor where research is authored. Supports custom prompt templates, enabling scholars to request citations, summarize sections, or generate literature‑review outlines. The platform can ingest public APIs, allowing developers to query code repositories or scientific databases via the same chat window. Compared with generic web search, Khoj returns source‑linked excerpts, making it suitable for academic writing, market analysis, and product‑team knowledge retrieval. Targeted at researchers, graduate students, and product analysts who need fast, private access to their own knowledge base. The free plan covers personal use; the paid tier unlocks multi‑user workspaces, higher request quotas, and SLA‑backed hosting. Because the engine runs on local hardware, performance depends on CPU/GPU resources, and large corpora may require manual indexing. Unlike cloud‑only AI assistants, Khoj offers on‑premise deployment, giving organizations control over data residency while still delivering LLM‑driven answers.

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