community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463)

Moved the following modules to new package langchain-community in a backwards compatible fashion: ``` mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community ``` Moved the following to core ``` mv langchain/langchain/utils/json_schema.py core/langchain_core/utils mv langchain/langchain/utils/html.py core/langchain_core/utils mv langchain/langchain/utils/strings.py core/langchain_core/utils cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py rm langchain/langchain/utils/env.py ``` See .scripts/community_split/script_integrations.sh for all changes
2025-09-12 12:59:07 +00:00 · 2023-12-11 13:53:30 -08:00
parent c0f4b95aa9
commit ed58eeb9c5
2446 changed files with 171805 additions and 137118 deletions
--- a/libs/community/langchain_community/embeddings/awa.py
+++ b/libs/community/langchain_community/embeddings/awa.py
@@ -0,0 +1,63 @@
+from typing import Any, Dict, List
+
+from langchain_core.embeddings import Embeddings
+from langchain_core.pydantic_v1 import BaseModel, root_validator
+
+
+class AwaEmbeddings(BaseModel, Embeddings):
+    """Embedding documents and queries with Awa DB.
+
+    Attributes:
+        client: The AwaEmbedding client.
+        model: The name of the model used for embedding.
+         Default is "all-mpnet-base-v2".
+    """
+
+    client: Any  #: :meta private:
+    model: str = "all-mpnet-base-v2"
+
+    @root_validator()
+    def validate_environment(cls, values: Dict) -> Dict:
+        """Validate that awadb library is installed."""
+
+        try:
+            from awadb import AwaEmbedding
+        except ImportError as exc:
+            raise ImportError(
+                "Could not import awadb library. "
+                "Please install it with `pip install awadb`"
+            ) from exc
+        values["client"] = AwaEmbedding()
+        return values
+
+    def set_model(self, model_name: str) -> None:
+        """Set the model used for embedding.
+        The default model used is all-mpnet-base-v2
+
+        Args:
+            model_name: A string which represents the name of model.
+        """
+        self.model = model_name
+        self.client.model_name = model_name
+
+    def embed_documents(self, texts: List[str]) -> List[List[float]]:
+        """Embed a list of documents using AwaEmbedding.
+
+        Args:
+            texts: The list of texts need to be embedded
+
+        Returns:
+            List of embeddings, one for each text.
+        """
+        return self.client.EmbeddingBatch(texts)
+
+    def embed_query(self, text: str) -> List[float]:
+        """Compute query embeddings using AwaEmbedding.
+
+        Args:
+            text: The text to embed.
+
+        Returns:
+            Embeddings for the text.
+        """
+        return self.client.Embedding(text)