Qdrant 2025 Recap: Powering the Agentic Era - Qdrant

What this post added

This post details Qdrant's 2025 recap, focusing on its evolution to power the agentic era. Key technical advancements include: Advanced Retrieval with score-boosting reranking, full-text filtering (multilingual tokenization, stemming, phrase matching), ACORN algorithm for filtered HNSW queries, Maximal Marginal Relevance (MMR) for diversity, and ASCII folding. Performance & Resource Optimization features include GPU-accelerated HNSW indexing, inline storage for quantized vectors, a custom storage engine for low-latency access, incremental HNSW indexing for upsert-heavy workloads, HNSW graph compression, and expanded quantization options (1.5-bit, 2-bit, asymmetric). Enterprise Scaling & Isolation enhancements cover tiered multitenancy, SSO/RBAC, granular database API keys, Terraform-enabled Cloud API, and conditional updates. Deployment Flexibility is addressed with Qdrant Cloud Inference for unified embedding generation and search, and Qdrant Edge for on-device retrieval.