Rename embedchain to mem0 and open sourcing code for long term memory (#1474)

Co-authored-by: Deshraj Yadav <deshrajdry@gmail.com>

embedchain/embedchain/embedder/ollama.py

@@ -0,0 +1,32 @@
+import logging
+from typing import Optional
+
+try:
+    from ollama import Client
+except ImportError:
+    raise ImportError("Ollama Embedder requires extra dependencies. Install with `pip install ollama`") from None
+
+from langchain_community.embeddings import OllamaEmbeddings
+
+from embedchain.config import OllamaEmbedderConfig
+from embedchain.embedder.base import BaseEmbedder
+from embedchain.models import VectorDimensions
+
+logger = logging.getLogger(__name__)
+
+
+class OllamaEmbedder(BaseEmbedder):
+    def __init__(self, config: Optional[OllamaEmbedderConfig] = None):
+        super().__init__(config=config)
+
+        client = Client(host=config.base_url)
+        local_models = client.list()["models"]
+        if not any(model.get("name") == self.config.model for model in local_models):
+            logger.info(f"Pulling {self.config.model} from Ollama!")
+            client.pull(self.config.model)
+        embeddings = OllamaEmbeddings(model=self.config.model, base_url=config.base_url)
+        embedding_fn = BaseEmbedder._langchain_default_concept(embeddings)
+        self.set_embedding_fn(embedding_fn=embedding_fn)
+
+        vector_dimension = self.config.vector_dimension or VectorDimensions.OLLAMA.value
+        self.set_vector_dimension(vector_dimension=vector_dimension)