Preparing Archive
hybrid-search-implementation
Combine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides sufficient recall.
Architectural Overview
"This module is grounded in ai engineering patterns and exposes 1 core capabilities across 1 execution phases."
Hybrid Search Implementation
Patterns for combining vector similarity and keyword-based search.
Use this skill when
- Building RAG systems with improved recall
- Combining semantic understanding with exact matching
- Handling queries with specific terms (names, codes)
- Improving search for domain-specific vocabulary
- When pure vector search misses keyword matches
Do not use this skill when
- The task is unrelated to hybrid search implementation
- You need a different domain or tool outside this scope
Instructions
- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
- If detailed examples are required, open
resources/implementation-playbook.md.
Resources
resources/implementation-playbook.mdfor detailed patterns and examples.
Primary Stack
TypeScript
Tooling Surface
Guide only
Workspace Path
.agents/skills/hybrid-search-implementation
Operational Ecosystem
The complete hardware and software toolchain required.
Module Topology
Antigravity Core
Principal Engineering Agent
Recommended for this workflow
Adjacent modules that complement this skill surface
An error occurred. Please try again later.