⚡ Pulse Score 89/100
Hybrid Vector + BM25 Full-Text Search & Reranking RAG Skill
Build high-precision Retrieval-Augmented Generation (RAG) pipelines combining dense vector embeddings, sparse BM25 keyword matching, Reciprocal Rank Fusion
⚡ 1-Click Agent & Developer Install
Zero Auth · Ready for Grok Bot, Claude Code & Cursornpx lightstate install skill-rag-hybrid-search
Copy-Paste System Prompt / Routine Blueprint:
Load the Hybrid Vector + BM25 Full-Text Search & Reranking RAG Skill (skill-rag-hybrid-search) playbook. First inspect our current configuration and codebase for Hybrid Search, Reciprocal Rank Fusion, Vector DB, Citations. Then propose a concrete, step-by-step implementation plan following the skill-rag-hybrid-search guardrails, run the non-destructive verification commands (npx lightstate inspect qdrant-mcp), and summarize any findings, risks, or required environment variables before making production changes.
📘 Complete SKILL.md Playbook Specification
--- name: rag-hybrid-search description: Build high-precision Retrieval-Augmented Generation (RAG) pipelines combining dense vector embeddings, sparse BM25 keyword matching, Reciprocal Rank Fusion (RRF), and cross-encoder reranking. Use when working with Hybrid Search, Reciprocal Rank Fusion, Vector DB, Citations. triggers: - rag hybrid search - hybrid search - reciprocal rank fusion --- # Hybrid Vector + BM25 Full-Text Search & Reranking RAG Skill ## 1. When to Use This Skill Load `skill-rag-hybrid-search` whenever an engineering or operations task involves **Hybrid Search, Reciprocal Rank Fusion, Vector DB, Citations**. Specifically: - Build high-precision Retrieval-Augmented Generation (RAG) pipelines combining dense vector embeddings, sparse BM25 keyword matching, Reciprocal Rank Fusion (RRF), and cross-encoder reranking. - Designing, reviewing, or debugging production configurations without guesswork or deprecated flags. - Running deterministic pre-flight and post-execution verification checks before reporting completion. ## 2. Prerequisites & Required Environment - **Target Stack:** Hybrid Search, Reciprocal Rank Fusion, Vector DB, Citations - **Permissions:** Read-only inspection by default; ask for explicit confirmation before executing destructive mutations or production deployments. - **Reference Repository:** `https://qdrant.tech/documentation/` ## 3. Step-by-Step Execution Playbook 1. **Context & Configuration Discovery:** Inspect existing project manifests (`package.json`, `wrangler.jsonc`, schema files, or environment declarations) before proposing changes. Never overwrite existing bindings or credentials blindly. 2. **Deterministic Implementation:** Apply the canonical patterns for **Hybrid Search**: - Enforce strict schema/type validation at every external boundary. - Include explicit error handling, structured logging, and idempotency keys on all mutating calls. - Keep secrets in environment variables or secret stores—never hardcode tokens in source files. 3. **Verification & Regression Gate:** Run the verification commands below and inspect both exit codes and output payloads before marking the task complete. ## 4. Reference Commands & CLI Workflow ```bash npx lightstate inspect qdrant-mcp ``` ## 5. Edge Cases & Anti-Hallucination Guardrails - **Zero Unverified Claims:** Never claim a deployment, migration, or API call succeeded without inspecting the command output or HTTP status code. - **Rollback Readiness:** Always record the previous state or migration version so changes can be reverted cleanly if downstream health checks fail.
Synthesized Engineering Blueprint & Setup Guide
### Overview & Capability Scope
**Hybrid Vector + BM25 Full-Text Search & Reranking RAG Skill** (`skill-rag-hybrid-search`) is a verified, portable `SKILL.md` playbook curated with **@swyx** for Grok Bot (`x.ai/bot/`), Claude Code (`~/.claude/skills/`), and Cursor (`.cursor/skills/`).
Build high-precision Retrieval-Augmented Generation (RAG) pipelines combining dense vector embeddings, sparse BM25 keyword matching, Reciprocal Rank Fusion (RRF), and cross-encoder reranking.
### Required Stack & Tooling
- **Primary Stack:** Hybrid Search, Reciprocal Rank Fusion, Vector DB, Citations
- **Category:** `research`
- **Source & Reference:** [https://qdrant.tech/documentation/](https://qdrant.tech/documentation/)
### Quickstart Installation
Install this `SKILL.md` playbook directly into your agent workspace:
```bash
npx lightstate install skill-rag-hybrid-search
```
Or copy the complete `SKILL.md` specification below into `.cursor/skills/skill-rag-hybrid-search/SKILL.md` or `~/.claude/skills/skill-rag-hybrid-search/SKILL.md`.
### Verification Commands
```bash
npx lightstate inspect qdrant-mcp
```
Tags: #hybrid-search#reciprocal-rank-fusion#vector-db#citations#skill-md#research
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