feat: add options for Mistral AI (#707) #none

* add Mistral AI emb AI embedding vendor, types

* add mistral env setting to example

* add mistral LLM option

* chore: fix default embedding back to normal

* fix: comfort CI

---------

Co-authored-by: Tadashi <tadashi@cinnamon.is>

.env.example

@@ -16,6 +16,9 @@ AZURE_OPENAI_EMBEDDINGS_DEPLOYMENT=text-embedding-ada-002
 # settings for Cohere
 COHERE_API_KEY=<COHERE_API_KEY>
 
+# settings for Mistral
+# MISTRAL_API_KEY=placeholder
+
 # settings for local models
 LOCAL_MODEL=qwen2.5:7b
 LOCAL_MODEL_EMBEDDINGS=nomic-embed-text

flowsettings.py

@@ -243,6 +243,15 @@ KH_LLMS["cohere"] = {
     },
     "default": False,
 }
+KH_LLMS["mistral"] = {
+    "spec": {
+        "__type__": "kotaemon.llms.ChatOpenAI",
+        "base_url": "https://api.mistral.ai/v1",
+        "model": "ministral-8b-latest",
+        "api_key": config("MISTRAL_API_KEY", default="your-key"),
+    },
+    "default": False,
+}
 
 # additional embeddings configurations
 KH_EMBEDDINGS["cohere"] = {
@@ -262,6 +271,14 @@ KH_EMBEDDINGS["google"] = {
     },
     "default": not IS_OPENAI_DEFAULT,
 }
+KH_EMBEDDINGS["mistral"] = {
+    "spec": {
+        "__type__": "kotaemon.embeddings.LCMistralEmbeddings",
+        "model": "mistral-embed",
+        "api_key": config("MISTRAL_API_KEY", default="your-key"),
+    },
+    "default": False,
+}
 # KH_EMBEDDINGS["huggingface"] = {
 #     "spec": {
 #         "__type__": "kotaemon.embeddings.LCHuggingFaceEmbeddings",

libs/kotaemon/kotaemon/embeddings/__init__.py

@@ -6,6 +6,7 @@ from .langchain_based import (
     LCCohereEmbeddings,
     LCGoogleEmbeddings,
     LCHuggingFaceEmbeddings,
+    LCMistralEmbeddings,
     LCOpenAIEmbeddings,
 )
 from .openai import AzureOpenAIEmbeddings, OpenAIEmbeddings
@@ -20,6 +21,7 @@ __all__ = [
     "LCCohereEmbeddings",
     "LCHuggingFaceEmbeddings",
     "LCGoogleEmbeddings",
+    "LCMistralEmbeddings",
     "OpenAIEmbeddings",
     "AzureOpenAIEmbeddings",
     "FastEmbedEmbeddings",

libs/kotaemon/kotaemon/embeddings/langchain_based.py

@@ -254,3 +254,40 @@ class LCGoogleEmbeddings(LCEmbeddingMixin, BaseEmbeddings):
             raise ImportError("Please install langchain-google-genai")
 
         return GoogleGenerativeAIEmbeddings
+
+
+class LCMistralEmbeddings(LCEmbeddingMixin, BaseEmbeddings):
+    """Wrapper around LangChain's MistralAI embedding, focusing on key parameters"""
+
+    api_key: str = Param(
+        help="API key (https://console.mistral.ai/api-keys)",
+        default=None,
+        required=True,
+    )
+    model: str = Param(
+        help="Model name to use ('mistral-embed')",
+        default="mistral-embed",
+        required=True,
+    )
+
+    def __init__(
+        self,
+        model: str = "mistral-embed",
+        api_key: Optional[str] = None,
+        **params,
+    ):
+        super().__init__(
+            model=model,
+            api_key=api_key,
+            **params,
+        )
+
+    def _get_lc_class(self):
+        try:
+            from langchain_mistralai import MistralAIEmbeddings
+        except ImportError:
+            raise ImportError(
+                "Please install langchain_mistralai: "
+                "`pip install -U langchain_mistralai`"
+            )
+        return MistralAIEmbeddings

libs/kotaemon/pyproject.toml

@@ -36,6 +36,7 @@ dependencies = [
     "langchain-google-genai>=1.0.3,<2.0.0",
     "langchain-anthropic",
     "langchain-ollama",
+    "langchain-mistralai",
     "langchain-cohere>=0.2.4,<0.3.0",
     "llama-hub>=0.0.79,<0.1.0",
     "llama-index>=0.10.40,<0.11.0",

libs/ktem/ktem/embeddings/manager.py

@@ -59,6 +59,7 @@ class EmbeddingManager:
             LCCohereEmbeddings,
             LCGoogleEmbeddings,
             LCHuggingFaceEmbeddings,
+            LCMistralEmbeddings,
             OpenAIEmbeddings,
             TeiEndpointEmbeddings,
         )
@@ -70,6 +71,7 @@ class EmbeddingManager:
             LCCohereEmbeddings,
             LCHuggingFaceEmbeddings,
             LCGoogleEmbeddings,
+            LCMistralEmbeddings,
             TeiEndpointEmbeddings,
         ]