अवलोकन
Application templates for RAG, search and AI pipelines using live data sources. The repository is maintained under pathwaycom on GitHub. Its primary language is Jupyter Notebook. See the [project README](https://github.com/pathwaycom/llm-app#readme) for the supported workflows.
प्रमुख विशेषताएँ
- Application templates for RAG, search and AI pipelines using live data sources.
आवश्यकताएँ, इंस्टॉलेशन और त्वरित शुरुआत
Choose an application template and follow that template’s README for deployment, dependencies and data-source configuration.
[Read the upstream installation and quickstart instructions](https://github.com/pathwaycom/llm-app#readme).
[Read the upstream installation and quickstart instructions](https://github.com/pathwaycom/llm-app#readme).
उपयोग
Use a small collection of documents to test ingestion and retrieval, inspect the results, then expand to your knowledge workflow.
[Usage examples and configuration reference](https://github.com/pathwaycom/llm-app#readme).
[Usage examples and configuration reference](https://github.com/pathwaycom/llm-app#readme).
मॉडल संगतता और उपयोग के मामले
रिपॉज़िटरी मेटाडेटा में मॉडल संगतता का उल्लेख नहीं है।
लाइसेंस और जोखिम संबंधी टिप्पणियाँ
GitHub reports MIT for this repository. Review the upstream license file; model weights, datasets and dependencies may have separate terms.
Source review 2026-09-05: GitHub search metadata and repository README. No runtime benchmark performed. License metadata: MIT.
रिलीज़ और रखरखाव
[View upstream releases](https://github.com/pathwaycom/llm-app/releases).