Skip to content

Edit weaviate docs #566

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 3 commits into from
Aug 18, 2023
Merged

Edit weaviate docs #566

Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
2ef5ca1
add link to weaviate
hsm207 Aug 18, 2023
7adcca9
mention module used to generate embeddings
hsm207 Aug 18, 2023
1e71323
mention options to host own weaviate instance
hsm207 Aug 18, 2023
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions docs/website/docs/dlt-ecosystem/destinations/weaviate.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,7 @@ keywords: [weaviate, vector database, destination, dlt]

# Weaviate

Weaviate is an open source vector database. It allows you to store data objects and perform similarity searches over them.
[Weaviate](https://weaviate.io/) is an open source vector database. It allows you to store data objects and perform similarity searches over them.
This destination helps you to load data into Weaviate from [dlt resources](../../general-usage/resource.md).

## Setup Guide
Expand All @@ -28,7 +28,7 @@ api_key = "your-weaviate-api-key"
X-OpenAI-Api-Key = "your-openai-api-key"
```

In this setup guide, we are using the [Weaviate Cloud Services](https://console.weaviate.cloud/) to get a Weaviate instance and [OpenAI API](https://platform.openai.com/) for generating embeddings.
In this setup guide, we are using the [Weaviate Cloud Services](https://console.weaviate.cloud/) to get a Weaviate instance and [OpenAI API](https://platform.openai.com/) for generating embeddings through the [text2vec-openai](https://weaviate.io/developers/weaviate/modules/retriever-vectorizer-modules/text2vec-openai) module. You can host your own weaviate instance using docker compose, kubernetes or embedded. Refer to Weaviate's [How-to: Install](https://weaviate.io/developers/weaviate/installation) for details.

3. Define the source of the data. For starters, let's load some data from a simple data structure:

Expand Down