building-rag-systems SKILL.md skillA
building-rag-systems from mjunaidca/mjs-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add mjunaidca/mjs-agent-skills/building-rag-systems@git:20251222.1a21d20Pins git:20251222.1a21d20 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- mjunaidca/mjs-agent-skills
- Path
.claude/skills/building-rag-systems/SKILL.md- Versions recorded
- 1
- Latest version
- git:20251222.1a21d20, committed Dec 22, 2025
- Size
- 11,066 bytes
- Repository stars
- 28
- License
- none declared
Build production RAG systems with semantic chunking, incremental indexing, and filtered retrieval. Use when implementing document ingestion pipelines, vector search with Qdrant, or context-aware retrieval. Covers chunking strategies, change detection, payload indexing, and context expansion. NOT when doing simple similarity search without production requirements.
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
# Building RAG Systems
Production-grade RAG with semantic chunking, incremental updates, and filtered retrieval.
## Quick Start
```bash
# Dependencies
pip install qdrant-client openai pydantic python-frontmatter
# Core components
# 1. Crawler → discovers files, extracts path metadata
# 2. Parser → extracts frontmatter, computes file hash
# 3. Chunker → semantic split on ## headers, 400 tokens, 15% overlap
# 4. Embedder → batched OpenAI embeddings
# 5. Uploader → Qdrant upsert with indexed payloads
```
---
## Ingestion Pipeline
### Architecture
```
┌──────────┐ ┌────────┐ ┌─────────┐ ┌──────────┐ ┌──────────┐
│ Crawler │ -> │ Parser │ -> │ Chunker │ -> │ Embedder │ -> │ Uploader │
└──────────┘ └────────┘ └─────────┘ └──────────┘ └──────────┘
│ │ │ │ │
Discovers Extracts Splits by Generates Upserts to
files frontmatter semantic vectors Qdrant
+ file hash boundaries (batched) (batched)
```
### Semantic Chunking (NOT Fixed-Size)
```python
class SemanticChunker:
"""
Production chunking:
…Read the whole file at its exact version.
How to install
mdr add mjunaidca/mjs-agent-skills/building-rag-systems@sha256:216f86698185f946The line at the top of this page pins the label git:20251222.1a21d20, 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_qgdpzibrft3unwqd)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Dec 22, 2025.
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 (11066 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
mjunaidca/mjs-agent-skills · 28 stars · license none declared · pushed 2026-08-12 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_qgdpzibrft3unwqd GET https://markdownregistry.com/api/v1/resolve?ref=mjunaidca/mjs-agent-skills/building-rag-systems GET https://markdownregistry.com/api/v1/blob/216f86698185f9469843631bbd65a23295ed863048047646ca03125a3e1c6bf4
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.