# Product recommendation using RAG on Dgraph - Dgraph Blog

**URL:** <https://discuss.dgraph.io/t/product-recommendation-using-rag-on-dgraph-dgraph-blog/19462>\
**Category:** Blog\
**Created:** [July 25, 2024, 9:20am UTC](https://discuss.dgraph.io/t/product-recommendation-using-rag-on-dgraph-dgraph-blog/19462 "2024-07-25T09:20:44Z")\
**Posts on this page:** 3\
**Page:** 1

<div class="post-metadata">

**Author:** ![diggy](https://yyz1.discourse-cdn.com/flex007/user_avatar/discuss.dgraph.io/diggy/32/3666_2.png) [@diggy](https://discuss.dgraph.io/u/diggy)\
**Post date:** [July 25, 2024, 9:20am UTC](https://discuss.dgraph.io/t/product-recommendation-using-rag-on-dgraph-dgraph-blog/19462/1 "2024-07-25T09:20:44Z")

</div>

In this blog post, we will use Dgraph database to store retail products information (Amazon products data) and Language Models to reply to users asking for a **product recommendation**.

* * *
This is a companion discussion topic for the original entry at [https://dgraph.io/blog/post/20240724\_rag\_on\_graph](https://dgraph.io/blog/post/20240724_rag_on_graph)

---

<div class="post-metadata">

**Author:** ![Raphael](https://yyz1.discourse-cdn.com/flex007/user_avatar/discuss.dgraph.io/raphael/32/10075_2.png) [@Raphael](https://discuss.dgraph.io/u/Raphael)\
**Post date:** [July 25, 2024, 12:41pm UTC](https://discuss.dgraph.io/t/product-recommendation-using-rag-on-dgraph-dgraph-blog/19462/2 "2024-07-25T12:41:27Z")

</div>

Jupyter notebook [RAG\_with\_Dgraph.ipynb](https://github.com/dgraph-io/pydgraph/blob/master/examples/notebook/RAG/RAG_with_Dgraph.ipynb) and dataset available in pydgraph repository.

---

<div class="post-metadata">

**Author:** ![diggy](https://yyz1.discourse-cdn.com/flex007/user_avatar/discuss.dgraph.io/diggy/32/3666_2.png) [@diggy](https://discuss.dgraph.io/u/diggy)\
**Post date:** [July 25, 2024, 12:41pm UTC](https://discuss.dgraph.io/t/product-recommendation-using-rag-on-dgraph-dgraph-blog/19462/3 "2024-07-25T12:41:27Z")

</div>