Llm App
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-f
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About
Pathway AI Pipelines
](https://discord.gg/pathway) [
Pathway's AI Pipelines allow you to quickly put in production AI applications that offer high-accuracy RAG and AI enterprise search at scale using the most up-to-date knowledge available in your data sources. It provides you ready-to-deploy LLM (Large Language Model) App Templates. You can test them on your own machine and deploy on-cloud (GCP, AWS, Azure, Render,...) or on-premises.
The apps connect and sync (all new data additions, deletions, updates) with data sources on your file system, Google Drive, Sharepoint, S3, Kafka, PostgreSQL, real-time data APIs. They come with no infrastructure dependencies that would need a separate setup. They include built-in data indexing enabling vector search, hybrid search, and full-text search - all done in-memory, with cache.
Application Templates
The application templates provided in this repo scale up to millions of pages of documents. Some of them are optimized for simplicity, some are optimized for amazing accuracy. Pick the one that suits you best. You can use it out of the box, or change some steps of the pipeline - for example, if you would like to add a new data source, or change a Vector Index into a Hybrid Index, it's just a one-line change.
Don't lose this
Three weeks from now, you'll want Llm App again. Will you remember where to find it?
Save it to your library and the next time you need Llm App, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
Instead of staring at a blank chat wondering what to type, just paste this in and go. Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-f. You can tweak the parts in brackets to make it yours. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, copy the prompt, paste it into any AI chat, and replace anything in [brackets] with your own details. Hit send — that's it.
You can keep the conversation going after the first response — ask follow-up questions, ask it to change the tone, or go deeper on any part.
Your data stays between you and your AI — nothing is shared with us or anyone else.
What's New
Imported from GitHub
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