> For the complete documentation index, see [llms.txt](https://genaistack.aiplanet.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://genaistack.aiplanet.com/components/vector-database/quickstart.md).

# Quickstart

For quickstart, you can rely on the default embedding utils. By default we use "**HuggingFaceEmbedding**" This eliminates the need to configure embeddings, making the process effortless.

To utilize the vectordb configuration with the default embedding:

**=> Vectordb Usage**

```python
from langchain.docstore.document import Document as LangDocument

from genai_stack.vectordb.chromadb import ChromaDB
from genai_stack.vectordb.weaviate_db import Weaviate
from genai_stack.embedding.utils import get_default_embedding
from genai_stack.stack.stack import Stack


embedding = get_default_embedding()
chromadb = ChromaDB.from_kwargs()
chroma_stack = Stack(model=None, embedding=embedding, vectordb=chromadb)

# Add your documents
chroma_stack.vectordb.add_documents(
            documents=[
                LangDocument(
                    page_content="Some page content explaining something", metadata={"some_metadata": "some_metadata"}
                )
            ]
        )
chroma_stack.vectordb.search("page")

# Output 
# Your search results 
```