ওভারভিউ
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.
প্রধান বৈশিষ্ট্যসমূহ
- Application templates for RAG, search and AI pipelines using live data sources.
প্রয়োজনীয়তা, ইনস্টলেশন ও দ্রুত শুরু
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).
ব্যবহার
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).
মডেলের সামঞ্জস্যতা ও ব্যবহারের ক্ষেত্র
রিপোজিটরি মেটাডেটায় মডেলের সামঞ্জস্যতা উল্লেখ করা নেই।
লাইসেন্স ও ঝুঁকি-সংক্রান্ত নোট
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.
রিলিজ ও রক্ষণাবেক্ষণ
[View upstream releases](https://github.com/pathwaycom/llm-app/releases).