When should I use this Claude Code skill?

Use this skill when building AI applications that require high-precision retrieval, especially when your queries include specific names, product codes, or domain-specific jargon.

What is hybrid search in the context of RAG?

Hybrid search combines semantic vector search, which understands meaning, with traditional keyword matching (like BM25), which handles exact terms, to provide more accurate retrieval results.

What is Reciprocal Rank Fusion (RRF)?

RRF is a robust algorithm used to merge multiple ranked search results into a single list without needing to normalize the underlying scores of different search methods.

Does this support PostgreSQL?

Yes, it includes specialized templates for PostgreSQL using the pgvector extension for embeddings and built-in tsvector for full-text search.

Hybrid Search Implementation

Name: Hybrid Search Implementation
Author: EricGrill

byEricGrill

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Data Science & ML

Combines vector similarity and keyword-based search to enhance retrieval accuracy in RAG systems and search engines.

This skill provides standardized patterns and templates for implementing hybrid search, bridging the gap between semantic understanding and exact keyword matching. It offers ready-to-use implementations for common fusion methods like Reciprocal Rank Fusion (RRF) and linear weighting, along with database-specific configurations for PostgreSQL (pgvector) and Elasticsearch. Use this skill to improve the recall of Retrieval-Augmented Generation (RAG) applications, especially when handling domain-specific vocabulary, technical identifiers, or queries where pure vector search fails to capture exact matches.

Key Features

01Normalization and weighting logic for multi-method retrieval

022 GitHub stars

03Elasticsearch hybrid search configurations and RRF sub-searches

04Reciprocal Rank Fusion (RRF) and linear scoring implementations

05Cross-encoder reranking templates for high-precision results

06PostgreSQL patterns using pgvector and Full-Text Search (FTS)

Use Cases

01Improving search engine relevance for mixed semantic and keyword queries

02Building high-performance Retrieval-Augmented Generation (RAG) pipelines

03Optimizing document retrieval for domain-specific or technical vocabulary

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ericgrill/agents-skills-plugins hybrid-search-implementation

For use in Claude.ai and ChatGPT

Download Skill