Weaviate
Weaviate is a robust, open-source vector database that allows you to store and query data based on its semantics. It supports various modules for text, image, and multimodal vectorization, enabling semantic search, advanced filtering, and question-answering. Weaviate offers flexible deployment options and integrates seamlessly with popular machine learning models and frameworks, providing GraphQL, and REST for easy integration with your applications.
The Apolo Weaviate App delivers a fully‑managed cluster with:
REST, GraphQL & gRPC APIs
Persistent volume for data
Optional S3 backups
One‑click HTTPS ingress secured by basic‑auth
For more information about Weavite, please refer to the main Weaviate page.
Installing
Below are the detailed instructions for installing Weaviate using Apolo CLI. For instructions on how to install it using Apolo Console, visit the main Weaviate page.
Installing via Apolo CLI
Apolo CLI
Step 1 — Obtain the application configuration file template:
apolo app-template get weaviate > myweaviate.yaml
Step 2 — Customize the application parameters. Below is an example configuration file:
# Example of myweaviate.yaml
template_name: "weaviate"
template_version: "apolo"
input:
preset:
name: "cpu-small"
persistence:
size: 64 # GiB PVC
enable_backups: true
ingress_http:
auth: false # public (no basic‑auth)
Explanation of configuration parameters:
preset.name
— picks CPU/RAM preset.persistence.size
— volume size; backups on by default.ingress_http.auth=false
— exposes endpoints openly; settrue
for private mode.
Step 3 — Deploy the application in your Apolo project:
apolo app install -f myweaviate.yaml
Monitor the application status using:
apolo app list
To uninstall the application, use:
apolo app uninstall <app-id>
If you want to see logs of the application, use:
apolo app logs <app-id>
For instructions on how to access the application, please refer to the Usage section.
Explanation
Inputs / Outputs (schema v1)
Inputs
JSON Path
Default
Description
preset.name
–
Resource preset per replica.
persistence.size
32
Volume size (GiB).
persistence.enable_backups
true
Nightly S3 snapshots.
ingress_http.auth
true
Require basic‑auth.
Outputs
Key
Purpose
external_graphql_endpoint.*
Public /v1/graphql
endpoint.
external_rest_endpoint.*
Public /v1
REST endpoint.
internal_graphql_endpoint.*
Private /v1/graphql
endpoint.
internal_rest_endpoint.*
Private /v1
REST endpoint.
internal_grpc_endpoint.*
Private gRPC in‑cluster.
auth.username
/ auth.password
Basic‑auth creds (if enabled).
Usage
Quick connectivity test & schema bootstrap:
import weaviate
client = weaviate.Client(
url="https://apolo‑taddeus‑weaviate-0aad31aa.apps.apolo.us",
additional_headers={"Authorization": "Basic <base64‑admin‑password>"}
)
assert client.is_ready(), "Weaviate not ready"
print("Connected!")
References
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