Content & Writing · GitHub ·7 ★

Collection-LLM-RAG

Collection-LLM-RAG is a Retrieval-Augmented Generation (RAG) application designed to explore collections of web articles and PDF files, such as conference papers.

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Details

Author
farhad-dalirani
Category
Content & Writing
Platform
GitHub
Framework
custom
Language
python
Stars
7
First indexed
2026-05-15
Last active
2025-02-27
Directory sync
2026-05-15
@farhad-dalirani

Overview

Collection-LLM-RAG is a Retrieval-Augmented Generation (RAG) application designed to explore collections of web articles and PDF files, such as conference papers.

Quick start

git

git clone https://github.com/farhad-dalirani/Collection-LLM-RAG

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What Collection-LLM-RAG can do

llmragdesignarticle
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Design — design task automation.
  • Article — article task automation.

Frequently asked questions

What is Collection-LLM-RAG?
Collection-LLM-RAG is a Retrieval-Augmented Generation (RAG) application designed to explore collections of web articles and PDF files, such as conference papers.
How do I install Collection-LLM-RAG?
Use git: `git clone https://github.com/farhad-dalirani/Collection-LLM-RAG`. Full setup details on the source page linked above.
Is Collection-LLM-RAG open source?
Collection-LLM-RAG is published on GitHub.
What are alternatives to Collection-LLM-RAG?
Comparable agents include PaddleOCR, telegraf, ai-notes. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for Collection-LLM-RAG is sourced from GitHub, published by farhad-dalirani.

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