Plugins

1 plugin

Optimize Qdrant Search Quality

Diagnose and improve Qdrant search relevance by isolating embedding, config, or query issues.

3 skills · plugin

Results for “re-embedding”

6 skills

Qdrant Model Migration

Guides embedding model migration in Qdrant without downtime, covering alias swap, side-by-side, and hybrid search strategies.

Qdrant Search Quality Diagnosis

Diagnoses Qdrant search quality issues by isolating causes like HNSW approximation, quantization, embedding model, or search pipeline problems.

orchestra-research

Store and query embeddings with metadata filtering, vector search, and full-text search using an open-source database that scales from notebooks to production.

10.4k · bundle

More results

Upserts a validated MDX book corpus into Supabase via Drizzle, hydrating books, chapters, sections, and chunks tables while preserving stable bookmark anchors and only re-embedding changed content.

mariadb-corporation

Mariadb Vector Functions

Reference for MariaDB's vector functions and VECTOR data type, covering VEC_Distance, VEC_Distance_Euclidean, VEC_Distance_Cosine, VEC_FromText, VEC_ToText, and MHNSW vector index usage for SQL queries over embeddings.

Provides persistent, self-hosted semantic memory for AI agents via MCP, storing worklogs, decisions, and notes in PostgreSQL with pgvector for meaning-based retrieval across sessions.