May 2026 monthly summary focused on delivering robust documentation, diverse code samples, and tooling improvements that accelerate developer onboarding, improve API visibility, and stabilize the docs experience. Key features and fixes spanned two repos (qdrant/landing_page and qdrant/qdrant). Highlights include major documentation work for per-collection metrics, per-collection API metrics, and the Query Audit Logs API; cross-language named vector CRUD snippets across Go/Java/C#/Python/TypeScript/Rust with reviews; and ongoing release blog updates with refreshed imagery. Also advanced developer experience through CI/Testing improvements, tooling upgrades (Node.js 22, pnpm pins), and UI/documentation polish (1px image border, Web UI/Edge README). Notable bug fixes include removing hardcoded 'master' references, a temporary Go client version bump, and a Python snippet import fix. In addition, snippet testing against 1.18 dev branches and documentation/tutorial improvements were completed to shorten time-to-value for new users. Overall impact: improved developer onboarding, clearer API metrics and audit capabilities, more reliable code samples across languages, and a more polished documentation and release blog experience; these changes collectively reduce integration risk and accelerate customer adoption of Qdrant features.

April 2026 focused on delivering user-facing improvements for discoverability, SEO, and UX in the landing_page site, while strengthening documentation and operational guidance. Key work spanned enabling a search widget on Learn to boost course discovery, preparing server-side 301 redirects for moved pages to improve SEO and correctness, and refining content discovery with enhanced Markdown autodiscovery. Also delivered a robust UX enhancement by syncing language tabs across widgets with persistent selection, and fixed a critical HTTP code snippet issue to reduce developer friction. Overall, these changes improved content visibility, navigation reliability, and developer experience, contributing to faster onboarding and lower support costs.

March 2026 performance summary for qdrant/landing_page focused on delivering feature-rich content, improving content delivery workflows, and enabling safer Edge deployments. Highlights include Edge data synchronization and embedding enhancements, Markdown rendering improvements with shortcodes, and a comprehensive model migration tutorial with multi-language examples. These changes deliver tangible business value by improving data integrity in Edge workflows, content fidelity for developers and end users, and faster onboarding through clearer documentation and testable code.

February 2026 — qdrant/landing_page: Delivered a comprehensive Documentation and Tutorials Overhaul, improved Go snippet tooling, and finalized Qdrant 1.17 release communications. The work enhanced developer onboarding, cloud/on-prem consistency, and release messaging, translating into faster adoption, reduced support friction, and more reliable cross-language code samples.

January 2026: Delivered a documentation- and samples-driven set of improvements for embedding workflows, external model integration, and edge/off-device capabilities on the qdrant/landing_page repo. Focused on business value: faster onboarding, clearer integration paths, and performance improvements. Key highlights include embedding model migration documentation with a dual-write process and zero-downtime upgrade visuals; OpenRouter integration docs and samples (Java/Go) with API usage and integration diagrams; extensive Qdrant Edge and on-device embeddings documentation with partial snapshots and synchronization guidance; media hosting optimization via Google Cloud Storage to reduce server load and improve load times; and multi-language text search documentation with practical code samples across Python, TypeScript, Rust, Java, C#, and Go. Additional quality work included snippet corrections and terminology standardization to improve consistency and maintainability.

December 2025 (qdrant/landing_page) delivered a focused set of UX/content improvements, documentation enhancements, retrieval capability expansions, and reliability improvements that collectively boost user experience, clarity, and cloud-first deployment confidence. Key work spanned UI/assets updates, standardization of terminology and testable examples, expanded search capabilities (BM25, SPLADE, phrase filtering, hybrid queries), and resilience improvements (conditional upserts and enhanced error handling). These efforts reduce onboarding time, improve search relevance, and strengthen the maintainability of the landing page content and its cloud-oriented guidance.

November 2025 performance summary for qdrant/landing_page. Focused on delivering high-value features, documentation modernization, and reliability improvements to support developer experience and deployment readiness. Key work spanned documentation modernization of Inference and Concepts, Web UI search enhancements, inline storage improvements, multitenancy (including tiered architecture), and ACORN integration, with additional attention to UX copy, deployment readiness, and blog/documentation updates. These efforts collectively improve discoverability, scalability, and time-to-value for users, while enabling more robust multi-tenant deployments and faster release cycles.

October 2025: Focused on improving developer experience and onboarding for landing_page/docs while expanding guidance for Inference workflows. Delivered targeted documentation improvements and a new Inference concept page to align docs with actual system behavior and ML integration, strengthening onboarding, reducing ambiguity, and accelerating adoption.