This is a technical writing proposal for participating in Google Season of Docs 2022. Season of Docs gives technical writers the opportunity to gain experience in open source by contributing to documentation.
This page contains Weaviate’s proposal to participate in Season of Docs 2022. In case our proposal is accepted by Google, we will be looking for Weaviate’s community members with technical writer skills to help with the project described below.
Technical writers interested in working on this project should send an email to careers AT semi.technology, before May 1st. Please include links to your technical writing work or portfolio/résumé/CV.
Weaviate is an open-source vector search engine that stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance and scalability of a cloud-native database, all accessible through GraphQL, REST, and various language, clients. SeMI Technologies is the company behind Weaviate, and has been working on this project for around 3 years now.
Weaviate is a unique open-source project in the vector search world. The community is growing rapidly, and we see that the number of community contribution is increasing.
In machine learning, e.g. recommendation tools or data classification, data is often represented as high-dimensional vectors. These vectors are stored in so-called vector databases. With vector databases you can efficiently run searching, ranking and recommendation algorithms. Therefore, vector databases became the backbone of ML deployments in industry. Weaviate is a such a vector database & search engine that enables combining vector search with structured filtering. Weaviate can be used with out-of-the-box or custom trained ML models to do semantic search, one-shot classification, question answering, NER, multi-modal search, and much more, on a large scale.
Read more about Weaviate here.
Weaviate can be used to solve industry-agnostic data problems, so our current users come from multiple disciplines. Current users range from companies who are using Weaviate for product search and categorization in e-commerce to companies who use Weaviate to search through video captions, and from users who use Weaviate to do image-text search to users who use Weaviate to browse through scientific papers.
Current contributors to Weaviate are mainly people who make their own Weaviate module (for example to use a new type of ML model with Weaviate).
We have a Weaviate documentation and a contributors guide. Currently, the contributors guide is very limited. Good documentation on how to get started on contributing to Weaviate is lacking. The pages that are in the current guide helps Weaviate developers who have a good amount of background knowledge and have been contributing to Weaviate before, but it is hard to get started as an unexperienced contributor.
We would like to have a contributors guide that is a complete guide that helps new contributors from the beginning until the end. This includes pages about how to get involved & onboarding, how to open a first issue on Github, how to structure Pull Requests and more. Ideally, the contributors guide will, like Weaviate’s documentation, also contain tutorials with examples and perhaps even videos (can be outside the scope of this project).
The goal of having better contributor documentation is to lower the barrier to contribute for whoever is interested in helping Weaviate.
For this project the technical writer will:
Weaviate’s base of contributors is currently very small. PRs are mostly from previous contributors, who are affiliated with SeMI Technologies (the company behind Weaviate). By improving the contributor documentation the goal is to lower the barrier to contribute for whoever is interested in helping Weaviate. We will measure success by the following metrics.
The project will be classified successful if the following goals are met after the new docs are live:
The project will start in April 2022 and end in November 2022. The first month will be spend on hiring the technical writer and May will be dedicated to orientation.
Must have:
Nice to have:
Technical writers interested in working on this project should send an email to careers AT semi.technology, before May 1st. Please include links to your technical writing work or portfolio/résumé/CV.
Weaviate is selected to participate as mentoring organization in Google Summer of Code 2022, see our available projects here. Join our community slack to say hello, get to know the community or ask questions.