hybrid-search-implementation

Implement hybrid search combining vector similarity with BM25 ranking.

3|1|Updated Dec 30, 2025

Search Tags:#retrieval #vector search #hybrid search #BM25 #rerank

One-click install

npx skills add https://github.com/48Nauts-Operator/opencode-baseline --skill hybrid-search-implementation

Or copy as Structured Prompt for Agent▼

Please help me install this Agent Skill.
Skill: hybrid-search-implementation
Source: https://github.com/48Nauts-Operator/opencode-baseline/tree/main/.opencode/skill/llm-dev/hybrid-search-implementation
Command: npx skills add https://github.com/48Nauts-Operator/opencode-baseline --skill hybrid-search-implementation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Combine vector and keyword search for improved retrieval in RAG and semantic search systems.

Core Features & Use Cases

Patterns for RRF, linear, cross-encoder reranking
PostgreSQL, Elasticsearch, and Pinecone hybrid implementations
Guidance for fusion strategies and evaluation

Quick Start

Build a simple hybrid search that fuses vector similarity with BM25 ranking.