Code & Development · GitHub ·32 ★

llm-based-recommender

AI-powered fashion recommendation system leveraging LLMs, embeddings, and retrieval techniques to deliver personalized shopping experiences.

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Details

Author
amine-akrout
Category
Code & Development
Platform
GitHub
Framework
langchain
Language
python
Stars
32
First indexed
2026-05-15
Last active
2025-07-23
Directory sync
2026-05-15
@amine-akrout

Overview

AI-powered fashion recommendation system leveraging LLMs, embeddings, and retrieval techniques to deliver personalized shopping experiences.

Quick start

git

git clone https://github.com/amine-akrout/llm-based-recommender

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

What llm-based-recommender can do

hrapishoppingragembedding
  • Hr — Handles people operations such as hiring and policy Q&A.
  • Api — api task automation.
  • Shopping — shopping task automation.
  • Rag — Retrieves grounded context before answering.
  • Embedding — Computes vector embeddings for semantic search.

Frequently asked questions

What is llm-based-recommender?
AI-powered fashion recommendation system leveraging LLMs, embeddings, and retrieval techniques to deliver personalized shopping experiences.
How do I install llm-based-recommender?
Use git: `git clone https://github.com/amine-akrout/llm-based-recommender`. Full setup details on the source page linked above.
Is llm-based-recommender open source?
llm-based-recommender is published on GitHub.
What are alternatives to llm-based-recommender?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for llm-based-recommender is sourced from GitHub, published by amine-akrout.

Last scraped: · First indexed:

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