🗄️ 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:
ChromaDB
Elasticsearch
Install related dependencies using the following command:
You can configure the Elasticsearch connection by providing either es_url
or cloud_id
. If you are using the Elasticsearch Service on Elastic Cloud, you can find the cloud_id
on the Elastic Cloud dashboard.
You can authorize the connection to Elasticsearch by providing either basic_auth
, api_key
, or bearer_auth
.
OpenSearch
Install related dependencies using the following command:
Zilliz
Install related dependencies using the following command:
Set the Zilliz environment variables ZILLIZ_CLOUD_URI
and ZILLIZ_CLOUD_TOKEN
which you can find it on their cloud platform.
LanceDB
Coming soon
Pinecone
Install pinecone related dependencies using the following command:
In order to use Pinecone as vector database, set the environment variable PINECONE_API_KEY
which you can find on Pinecone dashboard.
You can find more information about Pinecone configuration here.
You can also optionally provide index_name
as a config param in yaml file to specify the index name. If not provided, the index name will be {collection_name}-{vector_dimension}
.
Qdrant
In order to use Qdrant as a vector database, set the environment variables QDRANT_URL
and QDRANT_API_KEY
which you can find on Qdrant Dashboard.
Weaviate
In order to use Weaviate as a vector database, set the environment variables WEAVIATE_ENDPOINT
and WEAVIATE_API_KEY
which you can find on Weaviate dashboard.
If you can't find the specific vector database, please feel free to request through one of the following channels and help us prioritize.
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