update product recommendation example description (#513)

Author: badmonster0

README.md

@@ -137,7 +137,7 @@ It defines an index flow like this:
 | [Docs to Knowledge Graph](examples/docs_to_knowledge_graph) | Extract relationships from Markdown documents and build a knowledge graph |
 | [Embeddings to Qdrant](examples/text_embedding_qdrant) | Index documents in a Qdrant collection for semantic search |
 | [FastAPI Server with Docker](examples/fastapi_server_docker) | Run the semantic search server in a Dockerized FastAPI setup | 
-| [Product_Taxonomy_Knowledge_Graph](examples/product_taxonomy_knowledge_graph) | Build knowledge graph for product recommendations | 
+| [Product Recommendation](examples/product_recommendation) | Build real-time product recommendations with LLM and graph database| 
 | [Image Search with Vision API](examples/image_search_example) | Generates detailed captions for images using a vision model, embeds them, enables live-updating semantic search via FastAPI and served on a React frontend|
 
 More coming and stay tuned 👀!

examples/product_taxonomy_knowledge_graph/.env renamed to examples/product_recommendation/.env

@@ -1,6 +1,8 @@
-# Build Real-Time Product Recommendation based on LLM Taxonomy Extraction and Knowledge Graph
+# Build Real-Time Recommendation Engine with LLM and Graph Database
 
-We will process a list of products and use LLM to extract the taxonomy and complimentary taxonomy for each product.
+We will build a real-time product recommendation engine with LLM and graph database. In particular, we will use LLM to understand the category (taxonomy) of a product. In addition, we will use LLM to enumerate the complementary products - users are likely to buy together with the current product (pencil and notebook). 
+
+We will use Graph to explore the relationships between products that can be further used for product recommendations or labeling.
 
 Please drop [CocoIndex on Github](https://github.com/cocoindex-io/cocoindex) a star to support us and stay tuned for more updates. Thank you so much 🥥🤗. [![GitHub](https://img.shields.io/github/stars/cocoindex-io/cocoindex?color=5B5BD6)](https://github.com/cocoindex-io/cocoindex)