qmd
mini cli search engine for your docs, knowledge bases, meeting notes, whatever. Tracking current sota approaches while being all local
Discover how the QMD LLM cache achieves 10-30x performance gains by storing responses locally, slashing latency from seconds to milliseconds and eliminating redundant network calls.
Which GGUF Models Does QMD Support and How to Configure ThemDiscover which GGUF models QMD supports for embeddings, reranking, and query expansion. Learn to configure custom HuggingFace GGUF models with LlamaCppConfig.
Migrating from Another Search System to QMD: A Complete Step-by-Step GuideSeamlessly migrate your search system to QMD. Follow our step-by-step guide to install, configure collections, update the index, and enable semantic search with embeddings.
QMD CPU vs GPU Performance: Benchmarks and Device Selection GuideDiscover QMD CPU vs GPU performance differences. See benchmarks showing 10x faster inference on GPU, reducing latency from 300ms to 30ms. Choose the right device for your needs.
QMD vs ripgrep: Semantic Search vs Lexical Pattern MatchingDiscover how QMD semantic search with vector embeddings outperforms ripgrep's regex scans for context-aware, ranked local search results. Compare QMD and ripgrep.
Chunk Size and Overlap Settings for QMD Embeddings: A Technical Deep DiveDiscover how Tobi/qmd determines chunk size and overlap for QMD embeddings. Learn about the 900-token limit, 15% overlap ratio, and intelligent boundary detection for optimal context.
How the Top-Rank Bonus in QMD Fusion Preserves Exact MatchesDiscover how the QMD Fusion top-rank bonus preserves exact matches by adding score increments, preventing high-precision results from being lost.
How to Use QMD to Manage Collections on Network Drives: A Complete GuideLearn how QMD manages collections on network drives with this comprehensive guide. QMD unifies filesystem paths for seamless network storage management.
Database Schema for a QMD Index: Complete SQLite Structure ExplainedExplore the complete SQLite database schema for a QMD index. Understand the seven core tables storing metadata, content, vectors, and FTS indexes for efficient document management in tobi/qmd.
How to Debug Irrelevant Search Results in QMD: 8 Common Causes and FixesDebug irrelevant search results in QMD by understanding 8 common causes like BM25-only queries and stale indexes. Learn quick fixes to improve search accuracy.
How QMD Handles Large Files During Multi-Get OperationsLearn how QMD handles large files during multi-get operations. Discover default limits, automatic skipping, and how to override settings for efficient data transfer.
How QMD Uses Position-Aware Blending for Intelligent RerankingDiscover how QMD employs position-aware blending to intelligently rerank search results by fusing retrieval and neural scores. Learn about its tiered weighting system.
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