llm-app

What it does

Ready-to-deploy pipelines for enterprise search and RAG whose defining trait is freshness: connect to a filesystem, Google Drive, SharePoint, S3, Kafka or PostgreSQL and additions, edits and deletions propagate automatically, with vector, hybrid and full-text indexing held in memory and no separate infrastructure to stand up. Test locally, then ship the same thing to GCP, AWS, Azure or on-premise. The hard part is access design — whatever the pipeline can read, every person who queries it can effectively read. MIT.

Summary based on the project's own description. The Japanese page has a fuller beginner guide: setup difficulty, what to prepare, and a step-by-step start.

Screenshots & visuals

Before you start

• Setup difficultySome setup needed
• Command lineRequired
• API keyRequired
• Sends data onlineYes

Judged automatically from the project's own metadata. Always confirm on the official page.

llm-app FAQ

Is llm-app free?

llm-app itself is free, but it needs an API key for an external AI service. That service charges separately, though some have a free tier.

Do I need to install anything or write code to use llm-app?

It needs the command line. If you are not comfortable typing commands, expect to get stuck during setup.

Does llm-app work on a phone?

No. It needs a computer.

Can I use llm-app commercially?

The licence is MIT, which permits commercial use. Conditions such as keeping the copyright notice still apply, so read the licence text before shipping it inside something.

How it compares

The conditions that decide whether you can actually use it, side by side.

"Sends data out" means your input is uploaded to someone's server. Pick "No" when the material cannot leave your organisation.

Other docs & pdf q&a tools