جائزہ
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.
اہم خصوصیات
- Application templates for RAG, search and AI pipelines using live data sources.
ضروریات، انسٹالیشن اور فوری آغاز
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).
استعمال
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).
ماڈل کی مطابقت اور استعمال کے مواقع
ریپوزٹری میٹا ڈیٹا میں ماڈل کی مطابقت درج نہیں ہے۔
لائسنس اور خطرے سے متعلق نوٹس
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.
ریلیز اور دیکھ بھال
[View upstream releases](https://github.com/pathwaycom/llm-app/releases).