default sqlite when no path is given

src/haiku/rag/client.py

@@ -7,6 +7,7 @@ from urllib.parse import urlparse
 
 import httpx
 
+from haiku.rag.config import Config
 from haiku.rag.reader import FileReader
 from haiku.rag.store.engine import Store
 from haiku.rag.store.models.chunk import Chunk
@@ -18,8 +19,15 @@ from haiku.rag.store.repositories.document import DocumentRepository
 class HaikuRAG:
     """High-level haiku-rag client."""
 
-    def __init__(self, db_path: Path | Literal[":memory:"]):
+    def __init__(
+        self,
+        db_path: Path | Literal[":memory:"] = Config.DEFAULT_DATA_DIR
+        / "haiku.rag.sqlite",
+    ):
         """Initialize the RAG client with a database path."""
+        if isinstance(db_path, Path):
+            if not db_path.parent.exists():
+                Path.mkdir(db_path.parent, parents=True)
         self.store = Store(db_path)
         self.document_repository = DocumentRepository(self.store)
         self.chunk_repository = ChunkRepository(self.store)

src/haiku/rag/config.py

@@ -1,22 +1,28 @@
 import os
+from pathlib import Path
 
 from dotenv import load_dotenv
 from pydantic import BaseModel
 
+from haiku.rag.utils import get_default_data_dir
+
 load_dotenv()
 
 
 class AppConfig(BaseModel):
     ENV: str = "development"
 
-    OLLAMA_BASE_URL: str = "http://localhost:11434"
+    DEFAULT_DATA_DIR: Path = get_default_data_dir()
 
     EMBEDDING_PROVIDER: str = "ollama"
     EMBEDDING_MODEL: str = "mxbai-embed-large"
     EMBEDDING_VECTOR_DIM: int = 1024
+
     CHUNK_SIZE: int = 256
     CHUNK_OVERLAP: int = 32
 
+    OLLAMA_BASE_URL: str = "http://localhost:11434"
+
 
 # Expose Config object for app to import
 Config = AppConfig.model_validate(os.environ)

src/haiku/rag/embeddings/__init__.py

@@ -1,7 +1,6 @@
 from haiku.rag.config import Config
 from haiku.rag.embeddings.base import EmbedderBase
 from haiku.rag.embeddings.ollama import Embedder as OllamaEmbedder
-from haiku.rag.embeddings.voyageai import Embedder as VoyageAIEmbedder
 
 
 def get_embedder() -> EmbedderBase:
@@ -14,7 +13,7 @@ def get_embedder() -> EmbedderBase:
 
     if Config.EMBEDDING_PROVIDER == "voyageai":
         try:
-            import voyageai
+            from haiku.rag.embeddings.voyageai import Embedder as VoyageAIEmbedder
         except ImportError:
             raise ImportError(
                 "VoyageAI embedder requires the 'voyageai' package. "

src/haiku/rag/embeddings/voyageai.py

@@ -1,14 +1,17 @@
-from voyageai.client import Client
+try:
+    from voyageai.client import Client  # type: ignore
 
-from haiku.rag.config import Config
-from haiku.rag.embeddings.base import EmbedderBase
+    from haiku.rag.config import Config
+    from haiku.rag.embeddings.base import EmbedderBase
 
+    class Embedder(EmbedderBase):
+        _model: str = Config.EMBEDDING_MODEL
+        _vector_dim: int = 1024
 
-class Embedder(EmbedderBase):
-    _model: str = Config.EMBEDDING_MODEL
-    _vector_dim: int = 1024
+        async def embed(self, text: str) -> list[float]:
+            client = Client()
+            res = client.embed([text], model=self._model, output_dtype="float")
+            return res.embeddings[0]  # type: ignore[return-value]
 
-    async def embed(self, text: str) -> list[float]:
-        client = Client()
-        res = client.embed([text], model=self._model, output_dtype="float")
-        return res.embeddings[0]  # type: ignore[return-value]
+except ImportError:
+    pass

src/haiku/rag/utils.py

@@ -0,0 +1,25 @@
+import sys
+from pathlib import Path
+
+
+def get_default_data_dir() -> Path:
+    """
+    Get the user data directory for the current system platform.
+
+    Linux: ~/.local/share/haiku.rag
+    macOS: ~/Library/Application Support/haiku.rag
+    Windows: C:/Users/<USER>/AppData/Roaming/haiku.rag
+
+    :return: User Data Path
+    :rtype: Path
+    """
+    home = Path.home()
+
+    system_paths = {
+        "win32": home / "AppData/Roaming/haiku.rag",
+        "linux": home / ".local/share/haiku.rag",
+        "darwin": home / "Library/Application Support/haiku.rag",
+    }
+
+    data_path = system_paths[sys.platform]
+    return data_path

uv.lock

@@ -480,9 +480,6 @@ dependencies = [
 ]
 
 [package.optional-dependencies]
-all = [
-    { name = "voyageai" },
-]
 voyageai = [
     { name = "voyageai" },
 ]
@@ -507,11 +504,10 @@ requires-dist = [
     { name = "python-dotenv", specifier = ">=1.1.0" },
     { name = "sqlite-vec", specifier = ">=0.1.6" },
     { name = "tiktoken", specifier = ">=0.9.0" },
-    { name = "voyageai", marker = "extra == 'all'", specifier = ">=0.3.2" },
     { name = "voyageai", marker = "extra == 'voyageai'", specifier = ">=0.3.2" },
     { name = "watchfiles", specifier = ">=1.1.0" },
 ]
-provides-extras = ["voyageai", "all"]
+provides-extras = ["voyageai"]
 
 [package.metadata.requires-dev]
 dev = [