rag-implementation SKILL.md skillA
rag-implementation from gastonchevarria/god-mode is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add gastonchevarria/god-mode/rag-implementation@git:20260926.941aa31Pins git:20260926.941aa31 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- gastonchevarria/god-mode
- Path
plugins/god-mode-dev/skills/rag-implementation/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260926.941aa31, committed Sep 26, 2026
- Size
- 1,530 bytes
- Repository stars
- 3
- License
- MIT
Designs and implements advanced Retrieval-Augmented Generation (RAG) pipelines, semantic/hybrid search (vector + BM25), dense reranking, contextual chunking, metadata filtering, and hallucination reduction.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Advanced RAG Implementation
## Overview
Basic naive RAG (fixed-length chunking + single vector similarity search) produces irrelevant context, hallucinations, and high latency. `rag-implementation` builds production-grade retrieval engines with high precision and verifiable citations.
## The Production RAG Pipeline
```text
[Document Ingestion]
↓
1. Document Parsing & Structure Extraction (Headers, Tables, Metadata)
↓
2. Contextual Chunking (Semantic boundaries, 500-1000 tokens with 10% overlap)
↓
3. Dual Indexing (Dense Embeddings + Sparse BM25 Keywords + Metadata Filters)
↓
[User Query] -> Query Rewriting & Expansion
↓
4. Hybrid Retrieval (Top 25 Dense + Top 25 Sparse)
↓
5. Cross-Encoder Re-Ranking (Select Top 3 - 5 most relevant passages)
↓
6. Prompt Synthesis with Grounded Citations -> LLM Streaming Response
```
## Implementation Standards
- **Metadata Enrichment**: Store `source_file`, `page_number`, `section_title`, and `created_at` alongside each chunk vector.
- **Contextual Compression**: Strip out noisy boilerplate before passing chunks into the LLM context.
…Read the whole file at its exact version.
How to install
mdr add gastonchevarria/god-mode/rag-implementation@sha256:6f66f31194e68f3dThe line at the top of this page pins the label git:20260926.941aa31, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_braxb3aobncgme43)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 26, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (1530 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
gastonchevarria/god-mode · 3 stars · license MIT · pushed 2026-10-16 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_braxb3aobncgme43 GET https://markdownregistry.com/api/v1/resolve?ref=gastonchevarria/god-mode/rag-implementation GET https://markdownregistry.com/api/v1/blob/6f66f31194e68f3d1f1e3c2be0aeca318728fb5f55dee7fbc260f53de322de4a
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
More from gastonchevarria/god-mode
Every file in gastonchevarria/god-mode