LightRAG vs khoj

Common questions

What is the difference between LightRAG and khoj?

LightRAG: Simple and Fast Retrieval-Augmented Generation. khoj: Self-hostable AI second brain for personalized research and automation. See the comparison table for live GitHub stats and shared categories.

When should I choose LightRAG over khoj?

Choose LightRAG over khoj when License: LightRAG is MIT, khoj is AGPL-3.0; Khoj acts as an AI second brain, integrating with RAG-like functionalities for knowledge retrieval and generation, similar to LightRAG; Tags unique to LightRAG: docling, genai, gpt, graphrag; When you need a tool that prioritizes simplicity and speed in retrieval-augmented generation tasks.

When should I choose khoj over LightRAG?

Choose khoj over LightRAG when License: khoj is AGPL-3.0, LightRAG is MIT; Pricing: Khoj is free to use, but users may incur costs related to hosting and the LLMs they choose to integrate.; Requirements: Min 4 GB RAM; Requires Docker; Khoj requires Docker for setup and operation.; Users must have a Python environment and the necessary dependencies installed.; Khoj acts as an AI second brain, integrating with RAG-like functionalities for knowledge retrieval and generation, similar to LightRAG; Tags unique to khoj: agent, ai, assistant, chat; Also covers AI Agents, Developer Tools, Inference & Serving; When you need a self-hosted solution for personalized research and automation that can integrate with a variety of LLMs, including GPT, Claude, Gemini, LLaMA, Qwen, and Mistral.

When should I avoid LightRAG?

If your project does not require efficient knowledge graph augmentation or if speed and simplicity are not primary concerns. When you prefer not to use uv for package management and are satisfied with traditional methods like pip. In scenarios where the installation of additional libraries such as libcairo2 for handling SVGs in markdown/textpack documents is not feasible or desired. If your deployment environment strictly prohibits the use of external package managers like uv.

When should I avoid khoj?

If you are looking for a cloud-based service without the need for self-hosting, Khoj may not be the best fit. Khoj might not be ideal if you are seeking a tool that does not support a wide range of LLMs and requires a more specialized integration. If your research and automation needs are simple and do not require deep integration with local documents or web sources, a more straightforward tool might be more appropriate.

Is LightRAG or khoj more popular on GitHub?

LightRAG has more GitHub stars (39,743 vs 37,399). Stars measure visibility, not whether either tool fits your constraints.

Are LightRAG and khoj open source?

Yes - both are open-source projects on GitHub (LightRAG: MIT, khoj: AGPL-3.0).

Where can I find alternatives to LightRAG or khoj?

GraphCanon lists graph-backed alternatives at LightRAG alternatives and khoj alternatives (LightRAG markdown twin, khoj markdown twin), ranked by typed relationship edges rather than popularity votes.

Is there a machine-readable version of this comparison?

Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

Which is better maintained, LightRAG or khoj?

LightRAG: Very active. khoj: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

Where are the full trust reports for LightRAG and khoj?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LightRAG trust report; khoj trust report.