# Pathway LLM App

> Ready-to-run templates for live RAG and enterprise search

Docker-ready templates that keep AI pipelines in sync with SharePoint, Google Drive, S3 and other sources.

- Source: https://github.com/pathwaycom/llm-app
- Homepage: https://pathway.com/developers/templates/
- License: MIT
- Language: Jupyter Notebook
- Stars: 58863
- Forks: 1501
- Contributors: 26
- Last commit: 2026-07-05
- Purpose: AI & LLM tooling, RAG & vector DBs
- Runs on: Docker / self-host
- For: Enterprise

## Worth score: 63/100

How much DigGitHub recommends it, from activity, adoption, docs, license and security signals.

- Popularity: 24/25
- Momentum: 10/20
- Maintenance: 11/25
- Community: 10/15
- Readiness: 8/15

## Alternatives

- [Crawl4AI](https://diggithub.com/unclecode/crawl4ai.md): Web crawler that turns sites into LLM-ready Markdown
- [RAGFlow](https://diggithub.com/infiniflow/ragflow.md): RAG engine built on deep document understanding
- [LightRAG](https://diggithub.com/HKUDS/LightRAG.md): Simple and fast graph-based RAG
- [Dify](https://diggithub.com/langgenius/dify.md): Build, run and monitor LLM apps and agent workflows
- [gpt-researcher](https://diggithub.com/assafelovic/gpt-researcher.md): Autonomous deep research agent for web and local documents
- [Open Notebook](https://diggithub.com/lfnovo/open-notebook.md): Open-source NotebookLM alternative
- [AnythingLLM](https://diggithub.com/Mintplex-Labs/anything-llm.md): Chat with your documents using any LLM
- [PrivateGPT](https://diggithub.com/zylon-ai/private-gpt.md): Private AI API over local models

---

Source page: https://diggithub.com/pathwaycom/llm-app
Updated: 2026-10-03