pathwaycom/llm-app
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
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From the publisher
README & documentation
Earlier source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
[](https://discord.gg/pathway) [](https://x.com/intent/follow?screenname=pathwaycom) The Pathway Live Data Framework'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. 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…
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Read the full README ↗ · Preview checked 2026-10-11T10:12:12.372Z
Inside the original README — Document outline
- Pathway Live Data Framework AI Pipelines
- Application Templates
- How do these AI Pipelines work?
- Getting started
- Some visual highlights
- Do-it-Yourself Videos
- Troubleshooting
- Contributing
- Supported and maintained by
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Documentation belongs to its respective authors. Reported project/model license: MIT. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
What this repository does
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
Repository facts
- Owner
- pathwaycom
- Primary language
- Jupyter Notebook
- Stars
- 58,789
- Forks
- 1,507
- Open issues + pull requests
- 8
- License
- MIT
- Archived
- No
- Default branch
- main
- Created
- 2023-07-19T08:43:37.000Z
- Last push
- 2026-07-05T17:59:07.000Z
Topics and intended use
Owner-supplied topics: chatbot, hugging-face, llm, llm-local, llm-prompting, llm-security, llmops, machine-learning, open-ai, pathway, rag, real-time, retrieval-augmented-generation, vector-database, vector-index
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Source and freshness
Source: GitHub. Metadata observed 2026-10-14T12:10:15.837Z. Daily imports are snapshots, not real-time monitoring.
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