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t6_mem0/docs/advanced/vector_database.mdx
2023-09-05 03:45:53 +05:30

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---
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 parameters supported by Python Elasticsearch client.