feat: Adding MistralAI mode (#2065)

* Adding MistralAI mode

* Update embedding_component.py

* Update ui.py

* Update settings.py

* Update embedding_component.py

* Update settings.py

* Update settings.py

* Update settings-mistral.yaml

* Update llm_component.py

* Update settings-mistral.yaml

* Update settings.py

* Update settings.py

* Update ui.py

* Update embedding_component.py

* Delete settings-mistral.yaml

---------

Co-authored-by: SkiingIsFun123 <101684827+SkiingIsFun123@users.noreply.github.com>
Co-authored-by: Javier Martinez <javiermartinezalvarez98@gmail.com>

private_gpt/components/embedding/embedding_component.py

@@ -144,6 +144,23 @@ def __init__(self, settings: Settings) -> None:
                     api_key=settings.gemini.api_key,
                     model_name=settings.gemini.embedding_model,
                 )
+            case "mistralai":
+                try:
+                    from llama_index.embeddings.mistralai import (  # type: ignore
+                        MistralAIEmbedding,
+                    )
+                except ImportError as e:
+                    raise ImportError(
+                        "Mistral dependencies not found, install with `poetry install --extras embeddings-mistral`"
+                    ) from e
+
+                api_key = settings.openai.api_key
+                model = settings.openai.embedding_model
+
+                self.embedding_model = MistralAIEmbedding(
+                    api_key=api_key,
+                    model=model,
+                )
             case "mock":
                 # Not a random number, is the dimensionality used by
                 # the default embedding model

private_gpt/settings/settings.py

@@ -197,7 +197,14 @@ class HuggingFaceSettings(BaseModel):
 
 class EmbeddingSettings(BaseModel):
     mode: Literal[
-        "huggingface", "openai", "azopenai", "sagemaker", "ollama", "mock", "gemini"
+        "huggingface",
+        "openai",
+        "azopenai",
+        "sagemaker",
+        "ollama",
+        "mock",
+        "gemini",
+        "mistralai",
     ]
     ingest_mode: Literal["simple", "batch", "parallel", "pipeline"] = Field(
         "simple",

pyproject.toml

@@ -30,6 +30,7 @@ llama-index-embeddings-huggingface = {version ="^0.2.2", optional = true}
 llama-index-embeddings-openai = {version ="^0.1.10", optional = true}
 llama-index-embeddings-azure-openai = {version ="^0.1.10", optional = true}
 llama-index-embeddings-gemini = {version ="^0.1.8", optional = true}
+llama-index-embeddings-mistralai = {version ="^0.1.6", optional = true}
 llama-index-vector-stores-qdrant = {version ="^0.2.10", optional = true}
 llama-index-vector-stores-milvus = {version ="^0.1.20", optional = true}
 llama-index-vector-stores-chroma = {version ="^0.1.10", optional = true}
@@ -83,6 +84,7 @@ embeddings-openai = ["llama-index-embeddings-openai"]
 embeddings-sagemaker = ["boto3"]
 embeddings-azopenai = ["llama-index-embeddings-azure-openai"]
 embeddings-gemini = ["llama-index-embeddings-gemini"]
+embeddings-mistral = ["llama-index-embeddings-mistralai"]
 vector-stores-qdrant = ["llama-index-vector-stores-qdrant"]
 vector-stores-clickhouse = ["llama-index-vector-stores-clickhouse", "clickhouse_connect"]
 vector-stores-chroma = ["llama-index-vector-stores-chroma"]