Generate personalized product descriptions using the Gemini API and Weaviate

examples/README.md

@@ -1,7 +1,9 @@
 # Gemini API Examples
 
 ## Table of contents
-This is a colletion of fun examples for the Gemini API. 
+
+This is a collection of fun examples for the Gemini API. 
+
 * [Agents and Automatic Function Calling](https://github.com/google-gemini/cookbook/blob/main/examples/Agents_Function_Calling_Barista_Bot.ipynb): Create an agent (Barrista-bot) to take your coffee order. 
 * [Anomaly Detection](https://github.com/google-gemini/cookbook/blob/main/examples/Anomaly_detection_with_embeddings.ipynb): Use embeddings to detect anomalies in your datasets.
 * [Apollo 11 - long context example](https://github.com/google-gemini/cookbook/blob/main/examples/Apollo_11.ipynb): Search a 400 page transcript from Apollo 11.
@@ -20,7 +22,12 @@ This is a colletion of fun examples for the Gemini API.
 * [Working with Charts, Graphs, and Slide Decks](https://github.com/google-gemini/cookbook/blob/main/examples/Working_with_Charts_Graphs_and_Slide_Decks.ipynb): Gemini models are powerful multimodal LLMs that can process both text and image inputs. This notebook shows how Gemini 1.5 Flash model is capable of extracting data from various images.
 * [Entity extraction](https://github.com/google-gemini/cookbook/blob/main/examples/Entity_Extraction.ipynb): Use Gemini API to speed up some of your tasks, such as searching through text to extract needed information. Entity extraction with a Gemini model is a simple query, and you can ask it to retrieve its answer in the form that you prefer.
 
-Folders
+### Integrations
+
+* [Personalized Product Descriptions with Weaviate](weaviate/personalized_description_with_weaviate_and_gemini_api.ipynb): Load data into a Weaviate vector DB, build a semantic search system using embeddings from the Gemini API, create a knowledge graph and generate unique product descriptions for personas using the Gemini API and Weaviate.
+
+### Folders
+
 * [Prompting examples](https://github.com/google-gemini/cookbook/tree/main/examples/prompting): A directory with examples of various prompting techniques. 
 * [JSON Capabilities](https://github.com/google-gemini/cookbook/blob/main/quickstarts/Tuning.ipynb): A directory with guides containing different types of tasks you can do with JSON schemas.
 * [Automate Google Workspace tasks with the Gemini API](https://github.com/google-gemini/cookbook/tree/main/examples/Apps_script_and_Workspace_codelab): This codelabs shows you how to connect to the Gemini API using Apps Script, and uses the function calling, vision and text capabilities to automate Google Workspace tasks - summarizing a document, analyzing a chart, sending an email and generating some slides directly. All of this is done from a free text input.

examples/weaviate/docker-compose.yml

@@ -0,0 +1,25 @@
+---
+version: '3.4'
+services:
+  weaviate:
+    command:
+    - --host
+    - 0.0.0.0
+    - --port
+    - '8080'
+    - --scheme
+    - http
+    image: cr.weaviate.io/semitechnologies/weaviate:1.25.10
+    ports:
+    - 8080:8080
+    - 50051:50051
+    restart: on-failure:0
+    environment:
+      PALM_APIKEY: 'sk-key'
+      QUERY_DEFAULTS_LIMIT: 25
+      AUTHENTICATION_ANONYMOUS_ACCESS_ENABLED: 'true'
+      PERSISTENCE_DATA_PATH: '/var/lib/weaviate'
+      DEFAULT_VECTORIZER_MODULE: 'text2vec-palm'
+      ENABLE_MODULES: 'text2vec-palm, generative-palm'
+      CLUSTER_HOSTNAME: 'node1'
+...