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

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

mem0/embeddings/ollama.py

@@ -0,0 +1,30 @@
+import ollama
+from embedding.base import EmbeddingBase
+
+
+class OllamaEmbedding(EmbeddingBase):
+    def __init__(self, model="nomic-embed-text"):
+        self.model = model
+        self._ensure_model_exists()
+        self.dims = 512
+
+    def _ensure_model_exists(self):
+        """
+        Ensure the specified model exists locally. If not, pull it from Ollama.
+        """
+        model_list = [m["name"] for m in ollama.list()["models"]]
+        if not any(m.startswith(self.model) for m in model_list):
+            ollama.pull(self.model)
+
+    def embed(self, text):
+        """
+        Get the embedding for the given text using Ollama.
+
+        Args:
+            text (str): The text to embed.
+
+        Returns:
+            list: The embedding vector.
+        """
+        response = ollama.embeddings(model=self.model, prompt=text)
+        return response["embedding"]