mem0/docs/components/vector-databases.mdx

---
title: 🗄️ Vector databases
---

## Overview

Utilizing a vector database alongside Embedchain is a seamless process. All you need to do is configure it within the YAML configuration file. We've provided examples for each supported database below:

<CardGroup cols={4}>
  <Card title="ChromaDB" href="#chromadb"></Card>
  <Card title="Elasticsearch" href="#elasticsearch"></Card>
  <Card title="OpenSearch" href="#opensearch"></Card>
  <Card title="Zilliz" href="#zilliz"></Card>
  <Card title="LanceDB" href="#lancedb"></Card>
  <Card title="Pinecone" href="#pinecone"></Card>
  <Card title="Qdrant" href="#qdrant"></Card>
  <Card title="Weaviate" href="#weaviate"></Card>
</CardGroup>

## ChromaDB

<CodeGroup>

```python main.py
from embedchain import App

# load chroma configuration from yaml file
app = App.from_config(yaml_path="config1.yaml")
```

```yaml config1.yaml
vectordb:
  provider: chroma
  config:
    collection_name: 'my-collection'
    dir: db
    allow_reset: true
```

```yaml config2.yaml
vectordb:
  provider: chroma
  config:
    collection_name: 'my-collection'
    host: localhost
    port: 5200
    allow_reset: true
```

</CodeGroup>


## Elasticsearch

Install related dependencies using the following command:

```bash
pip install --upgrade 'embedchain[elasticsearch]'
```

<CodeGroup>

```python main.py
from embedchain import App

# load elasticsearch configuration from yaml file
app = App.from_config(yaml_path="config.yaml")
```

```yaml config.yaml
vectordb:
  provider: elasticsearch
  config:
    collection_name: 'es-index'
    es_url: http://localhost:9200
    allow_reset: true
    api_key: xxx
```
</CodeGroup>

## OpenSearch

Install related dependencies using the following command:

```bash
pip install --upgrade 'embedchain[opensearch]'
```

<CodeGroup>

```python main.py
from embedchain import App

# load opensearch configuration from yaml file
app = App.from_config(yaml_path="config.yaml")
```

```yaml config.yaml
vectordb:
  provider: opensearch
  config:
    opensearch_url: 'https://localhost:9200'
    http_auth:
      - admin
      - admin
    vector_dimension: 1536
    collection_name: 'my-app'
    use_ssl: false
    verify_certs: false
```

</CodeGroup>

## Zilliz

Install related dependencies using the following command:

```bash
pip install --upgrade 'embedchain[milvus]'
```

<CodeGroup>

```python main.py
from embedchain import App

# load zilliz configuration from yaml file
app = App.from_config(yaml_path="config.yaml")
```

```yaml config.yaml
vectordb:
  provider: zilliz
  config:
    collection_name: 'zilliz-app'
    uri: https://xxxx.api.gcp-region.zillizcloud.com
    token: xxx
    vector_dim: 1536
    metric_type: L2
```

</CodeGroup>

## LanceDB

_Coming soon_

## Pinecone

_Coming soon_

## Qdrant

_Coming soon_

## Weaviate

_Coming soon_

<Snippet file="missing-vector-db-tip.mdx" />