https://qdrant.tech/blog/qdrant-summer-of-code-24/ * Product + Use cases + Solutions + Benchmarks + Demos + Pricing * Resources + Documentation + Articles + Blog + Roadmap + Changelog + Trust Center * Community + Github + Discord + Twitter + Newsletter + Contact us * Cloud GitHub [logo_with_] * Home * / * Blog * / * Qdrant Summer of Code 24 Qdrant Summer of Code 24 February 21, 2024 * Andre Zayarni Qdrant Summer of Code 24 Share Google Summer of Code (#GSoC) is celebrating its 20th anniversary this year with the 2024 program. Over the past 20 years, 19K new contributors were introduced to #opensource through the program under the guidance of thousands of mentors from over 800 open-source organizations in various fields. Qdrant participated successfully in the program last year. Both projects, the UI Dashboard with unstructured data visualization and the advanced Geo Filtering, were completed in time and are now a part of the engine. One of the two young contributors joined the team and continues working on the project. We are thrilled to announce that Qdrant was NOT accepted into the GSoc 2024 program for unknown reasons, but instead, we are introducing our own Qdrant Summer of Code program with a stipend for contributors! To not reinvent the wheel, we follow all the timelines and rules of the official Google program. Our project ideas. We have prepared some excelent project ideas. Take a look and choose if you want to contribute in Rust or a Python-based project. WASM-based dimension reduction viz Implement a dimension reduction algorithm in Rust and compile to WASM and integrate the WASM code with Qdrant Web UI. Efficient BM25 and Okapi BM25, which uses the BERT Tokenizer BM25 and Okapi BM25 are popular ranking algorithms. Qdrant's FastEmbed supports dense embedding models. We need a fast, efficient, and massively parallel Rust implementation with Python bindings for these. ONNX Cross Encoders in Python [?][?] Export a cross-encoder ranking models to operate on ONNX runtime and integrate this model with the Qdrant's FastEmbed to support efficient re-ranking Ranking Fusion Algorithms implementation in Rust Develop Rust implementations of various ranking fusion algorithms including but not limited to Reciprocal Rank Fusion (RRF). For complete list, see: https://github.com/AmenRa/ranx and create Python bindings for the implemented Rust modules. Setup Jepsen to test Qdrant's distributed guarantees Design and write Jepsen tests based on implementations for other Databases and create a report or blog with the findings. See all details on our Notion page: https://www.notion.so/qdrant/ GSoC-2024-ideas-1dfcc01070094d87bce104623c4c1110 Contributor application period begins on March 18th. We will accept applications via email. Let's contribute and celebrate together! In open-source, we trust! Related Posts View all blog posts Introducing Qdrant Cloud on Microsoft Azure Introducing Qdrant Cloud on Microsoft Azure Learn the benefits of Qdrant Cloud on Azure. By Manuel Meyer * January 17, 2024 Open Source Vector Search Engine and Vector Database - Andrey Vasnetsov Open Source Vector Search Engine and Vector Database - Andrey Vasnetsov Andrey Vasnetsov, CTO and Co-founder of Qdrant, presents an in-depth look into the intricacies of their open-source vector search engine and database, detailing its optimized architecture, data structure challenges, and innovative filtering techniques for efficient vector similarity searches. By Demetrios Brinkmann * January 10, 2024 Building LLM Powered Applications in Production - Hamza Farooq | Vector Space Talks Building LLM Powered Applications in Production - Hamza Farooq | Vector Space Talks Hamza Farooq presents the future of large language models, complex search, and copilot, discussing real-world applications and the challenges of implementing these technologies in production. By Demetrios Brinkmann * January 9, 2024 Stay updated with Qdrant We will update you on new features and news regarding Qdrant and Vector Similarity Search. [ ] [ ] Subscribe Product * Use cases * Solutions * Benchmarks * Demos * Pricing Community * Github * Discord * Twitter * Newsletter * Contact us Company * Jobs * Privacy Policy * Terms * Impressum * Credits Latest Publications [icon] Use Qdrant's Binary Quantization to enhance OpenAI embeddings [icon] Combining our most popular features to support scalable machine learning solutions. [icon] Discover points by constraining the space. * * * * * (c) 2024 Qdrant. All Rights Reserved Thanks for using Qdrant! x Subscribe to our e-mail newsletter if you want to be updated on new features and news regarding Qdrant. Like what we are doing? Consider giving us a on Github. [ ] [ ] Subscribe