mem0/docs/advanced/vector_database.mdx

---
title: '💾 Vector Database'
---

We support `Chroma` and `Elasticsearch` as two vector database. 
`Chroma` is used as a default database.

### Elasticsearch
In order to use `Elasticsearch` as vector database we need to use App type `CustomApp`. 
```python
import os
from embedchain import CustomApp
from embedchain.config import CustomAppConfig, ElasticsearchDBConfig
from embedchain.models import Providers, EmbeddingFunctions, VectorDatabases

os.environ["OPENAI_API_KEY"] = 'OPENAI_API_KEY'

es_config = ElasticsearchDBConfig(
	# elasticsearch url or list of nodes url with different hosts and ports.
	es_url='http://localhost:9200',
	# pass named parameters supported by Python Elasticsearch client
	ca_certs="/path/to/http_ca.crt",
	basic_auth=("username", "password")
)
config = CustomAppConfig(
	embedding_fn=EmbeddingFunctions.OPENAI, 
	provider=Providers.OPENAI, 
	db_type=VectorDatabases.ELASTICSEARCH, 
	es_config=es_config,
)
es_app = CustomApp(config)
```
- Set `db_type=VectorDatabases.ELASTICSEARCH` and `es_config=ElasticsearchDBConfig(es_url='')` in `CustomAppConfig`.
- `ElasticsearchDBConfig` accepts `es_url` as elasticsearch url or as list of nodes url with different hosts and ports. Additionally we can pass named paramaters supported by Python Elasticsearch client.