Update README and WISHLIST for the Genkit RAG notebook

google-gemini · Oct 28, 2024 · a398f70 · a398f70
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diff --git a/README.md b/README.md
@@ -78,13 +78,14 @@ You can find the Gemma models on GitHub, Hugging Face models, Kaggle, Google Clo
 | [Minimal_RAG.ipynb](Gemma/Minimal_RAG.ipynb)                                                                         | Minimal example of building a RAG system with Gemma using [Google UniSim](https://github.com/google/unisim) and [Hugging Face](https://huggingface.co/).                                |
 | [RAG_PDF_Search_in_multiple_documents_on_Colab.ipynb](Gemma/RAG_PDF_Search_in_multiple_documents_on_Colab.ipynb)     | RAG PDF Search in multiple documents using Gemma 2 2B on Google Colab.                                                                                                                  |
 | [Using_Gemma_with_LangChain.ipynb](Gemma/Using_Gemma_with_LangChain.ipynb)                                           | Examples to demonstrate using Gemma with [LangChain](https://www.langchain.com/).                                                                                                       |
-| [Using_Gemma_with_Elasticsearch_and_LangChain.ipynb](Gemma/Using_Gemma_with_Elasticsearch_and_LangChain.ipynb)       | Example to demonstrate a RAG using Gemma with [Elasticsearch](https://www.elastic.co/elasticsearch/), [Ollama](https://www.ollama.com/) and [LangChain](https://www.langchain.com/).    |
+| [Using_Gemma_with_Elasticsearch_and_LangChain.ipynb](Gemma/Using_Gemma_with_Elasticsearch_and_LangChain.ipynb)       | Example to demonstrate using Gemma with [Elasticsearch](https://www.elastic.co/elasticsearch/), [Ollama](https://www.ollama.com/) and [LangChain](https://www.langchain.com/).          |
+| [Gemma_with_Firebase_Genkit_and_Ollama.ipynb](Gemma/Gemma_with_Firebase_Genkit_and_Ollama.ipynb)                     | Example to demonstrate using Gemma with [Firebase Genkit](https://firebase.google.com/docs/genkit/) and [Ollama](https://www.ollama.com/)                                               |
 | [Gemma_RAG_LlamaIndex.ipynb](Gemma/Gemma_RAG_LlamaIndex.ipynb)                                                       | RAG example with [LlamaIndex](https://www.llamaindex.ai/) using Gemma.                                                                                                                  |
 | **Finetuning**                                                                                                       |                                                                                                                                                                                         |
 | [Finetune_with_Axolotl.ipynb](Gemma/Finetune_with_Axolotl.ipynb)                                                     | Finetune Gemma using [Axolotl](https://github.com/OpenAccess-AI-Collective/axolotl).                                                                                                    |
 | [Finetune_with_XTuner.ipynb](Gemma/Finetune_with_XTuner.ipynb)                                                       | Finetune Gemma using [XTuner](https://github.com/InternLM/xtuner).                                                                                                                      |
 | [Finetune_with_LLaMA_Factory.ipynb](Gemma/Finetune_with_LLaMA_Factory.ipynb)                                         | Finetune Gemma using [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory).                                                                                                         |
-| [Custom_Vocabulary.ipynb](Gemma/Custom_Vocabulary.ipynb)                                                             | Demonstrate how to use a custom vocabulary "&lt;unused[0-98]&gt;" tokens in Gemma.                                                                                                            |
+| [Custom_Vocabulary.ipynb](Gemma/Custom_Vocabulary.ipynb)                                                             | Demonstrate how to use a custom vocabulary "&lt;unused[0-98]&gt;" tokens in Gemma.                                                                                                      |
 | **Alignment**                                                                                                        |                                                                                                                                                                                         |
 | [Aligning_DPO_Gemma_2b_it.ipynb](Gemma/Aligning_DPO_Gemma_2b_it.ipynb)                                               | Demonstrate how to align a Gemma model using DPO (Direct Preference Optimization) with [Hugging Face TRL](https://huggingface.co/docs/trl/en/index).                                    |
 | **Evaluation**                                                                                                       |                                                                                                                                                                                         |

diff --git a/WISHLIST.md b/WISHLIST.md
@@ -1,7 +1,6 @@
 A wish list of cookbooks showcasing:
 
 * Inference
-  * Integration with [Google GenKit](https://firebase.google.com/products/genkit)
   * [SGLang](https://github.com/sgl-project/sglang) integration
 
 * Fine-tuning