Last took part in 2022

Semi Technologies

The ML-first vector search engine

Contributors in 2026

–

Not taking part

Projects since 2016

3 a cycle on average

Cycles

1 of 11

First in 2022

Rank in 2026

–

By contributors

Mentors

for 3 projects in 2022

Contributors per cycle

Accepted projects each year, against the median organization that year

View as table

Each one has its own page of organizations and trends

Is Semi Technologies in GSoC 2026?: No. It last took part in 2022.
How long has it taken part?: 1 of 11 cycles since 2016, first in 2022.
How many contributors does it usually take?: 3 a cycle on average, 3 in total. Its largest cycle was 2022, with 3.
What does it build with?: Python, Machine learning, Go, Vectors, Natural Language Processing.

Improving the Weaviate CLI
Aryan NarayanMentored by Saurabh Rai, Stefan, sebawita
Weaviate CLI offers very limited functionalities. Even though there are various other options to interact with a Weaviate instance, we cannot simple...
Project Code
Make a new Weaviate module
Dasith EdirisingheMentored by Saurabh Rai, Marcin Antas, sebawita
Weaviate is a cloud-native vector search engine and a vector database. Weaviate is completely modularized and the functionalities of the weaviate can...
Project Report
Any new demo (e.g. python notebook) that can be integrated into our website/examples etc.
Yash GuptaMentored by Saurabh Rai, Laura Ham, Stefan +1
This project aims to make more examples and tutorials for weaviate. As any beginner who wants to use weaviate, These examples and tutorials are the...
Project Summary