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#### Environment details
- which product (packages/*): @google-ai/generativelanguage
- OS: linux
- Node.js version: 18.18
- npm version: 9.8.1
- google-cloud-node version: 1.1.0
##…
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Hello,
I have created a trained model in Vertex AI Studio. How do I use this library `@google-cloud/vertexai` to use that model for my predictive generation?
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This issue is used to document the LLM, embedding, reranker, etc. models that need to be integrated with RAGFlow.
- [x] Azure Open AI service
- [x] Google Gemini #1036
- [x] Mixtral AI #433
- […
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deepseek api key mention in https://github.com/datastax/astra-assistants-api/tree/main/client but not supported
here is the .env file
Authentication
Provide api keys for third party LLMs via en…
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**Expected Behavior**
I would like to be able to use my Custom Model (e.g. fine-tuned foundation model) deployed on GCP Endpoint with Spring AI library.
API for Endpoints:
https://cloud.google.…
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### Description
Support Gemini API
It seems that there are some parameters which need to be mapped when calling Gemini with Openai API
https://cloud.google.com/vertex-ai/generative-ai/docs/migr…
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Since Jiaming already has a way to use GPT's AI, with code examples, let's experiment with Google's AI...
More info here: https://ai.google.dev/pricing
It's essentially the google version of ChatGPT…
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# Make the Most out of Free Tier Plan: Add Google Gemini AI model as an option
**Feature description**
I would like to have the option to use Google's Gemini AI model instead of OpenAI's model whe…
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### The Feature
Vertex Multimodal embeddings allows sending image, text and video
It can be used through REST endpoint or Vertex AI SDK in Python
https://cloud.google.com/vertex-ai/generative-a…
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![image](https://github.com/user-attachments/assets/0063e3cb-f1b8-4043-9b90-96e278957c34)
**How it looks on my app**
![image](https://github.com/user-attachments/assets/1cddb5fb-3708-442b-a232-19b…