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docs: Update Multi_modal_RAG_google.ipynb to remove the unsupported Gemini models (#31526)

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- **Description:** Remove the outdated Gemini models and replace those
with the latest models.
- **Issue:** Earlier the code was not running, now the code runs.
- **Dependencies:** No
- **Twitter handle:** [soumendrak_](https://x.com/soumendrak_)
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Soumendra kumar sahoo 2025-06-10 06:56:01 +05:30 committed by GitHub
parent b21526fe38
commit e455fab5d3
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1 changed files with 4 additions and 4 deletions
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cookbook/Multi_modal_RAG_google.ipynb
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@ -185,7 +185,7 @@
" )\n",
" # Text summary chain\n",
" model = VertexAI(\n",
" temperature=0, model_name=\"gemini-pro\", max_tokens=1024\n",
" temperature=0, model_name=\"gemini-2.0-flash-lite-001\", max_tokens=1024\n",
" ).with_fallbacks([empty_response])\n",
" summarize_chain = {\"element\": lambda x: x} | prompt | model | StrOutputParser()\n",
"\n",
@ -254,7 +254,7 @@
"\n",
"def image_summarize(img_base64, prompt):\n",
" \"\"\"Make image summary\"\"\"\n",
" model = ChatVertexAI(model=\"gemini-pro-vision\", max_tokens=1024)\n",
" model = ChatVertexAI(model=\"gemini-2.0-flash\", max_tokens=1024)\n",
"\n",
" msg = model.invoke(\n",
" [\n",
@ -394,7 +394,7 @@
"# The vectorstore to use to index the summaries\n",
"vectorstore = Chroma(\n",
" collection_name=\"mm_rag_cj_blog\",\n",
" embedding_function=VertexAIEmbeddings(model_name=\"textembedding-gecko@latest\"),\n",
" embedding_function=VertexAIEmbeddings(model_name=\"text-embedding-005\"),\n",
")\n",
"\n",
"# Create retriever\n",
@ -553,7 +553,7 @@
" \"\"\"\n",
"\n",
" # Multi-modal LLM\n",
" model = ChatVertexAI(temperature=0, model_name=\"gemini-pro-vision\", max_tokens=1024)\n",
" model = ChatVertexAI(temperature=0, model_name=\"gemini-2.0-flash\", max_tokens=1024)\n",
"\n",
" # RAG pipeline\n",
" chain = (\n",