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feat(llm): Support for Google Gemini LLMs and Embeddings (#1965)
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* Support for Google Gemini LLMs and Embeddings

Initial support for Gemini, enables usage of Google LLMs and embedding models (see settings-gemini.yaml)

Install via
poetry install --extras "llms-gemini embeddings-gemini"

Notes:
* had to bump llama-index-core to later version that supports Gemini
* poetry --no-update did not work: Gemini/llama_index seem to require more (transient) updates to make it work...

* fix: crash when gemini is not selected

* docs: add gemini llm

---------

Co-authored-by: Javier Martinez <javiermartinezalvarez98@gmail.com>
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fern/docs/pages/manual/llms.mdx
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@ -199,3 +199,36 @@ Navigate to http://localhost:8001 to use the Gradio UI or to http://localhost:80
For a fully private setup on Intel GPUs (such as a local PC with an iGPU, or discrete GPUs like Arc, Flex, and Max), you can use [IPEX-LLM](https://github.com/intel-analytics/ipex-llm).
To deploy Ollama and pull models using IPEX-LLM, please refer to [this guide](https://ipex-llm.readthedocs.io/en/latest/doc/LLM/Quickstart/ollama_quickstart.html). Then, follow the same steps outlined in the [Using Ollama](#using-ollama) section to create a `settings-ollama.yaml` profile and run the private-GPT server.
### Using Gemini
If you cannot run a local model (because you don't have a GPU, for example) or for testing purposes, you may
decide to run PrivateGPT using Gemini as the LLM and Embeddings model. In addition, you will benefit from
multimodal inputs, such as text and images, in a very large contextual window.
In order to do so, create a profile `settings-gemini.yaml` with the following contents:
```yaml
llm:
mode: gemini
embedding:
mode: gemini
gemini:
api_key: <your_gemini_api_key> # You could skip this configuration and use the GEMINI_API_KEY env var instead
model: <gemini_model_to_use> # Optional model to use. Default is models/gemini-pro"
embedding_model: <gemini_embeddings_to_use> # Optional model to use. Default is "models/embedding-001"
```
And run PrivateGPT loading that profile you just created:
`PGPT_PROFILES=gemini make run`
or
`PGPT_PROFILES=gemini poetry run python -m private_gpt`
When the server is started it will print a log *Application startup complete*.
Navigate to http://localhost:8001 to use the Gradio UI or to http://localhost:8001/docs (API section) to try the API.