FreeSkills
Commits, branches and sync with the but CLI
- 361361 downloads
- 198198 likes
- 103103 saves
Works with
- Claude Code
- Codex
- Cursor
- and 3 more
RAG infrastructure: ingestion, embeddings and hybrid search v1.0.0
Use this resource to build RAG infrastructure for document search
New
- 475 downloads
- 181 likes
- 247 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install rag-infrastructure-vector-searchWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent designs the ingestion pipeline (chunking suited to code or Markdown, local or API embeddings), indexes vectors in Qdrant and sets up dense plus BM25 hybrid search. You get the Python pipeline code and the collection configuration.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- MIT
Similar resources
View all- Free
FreeSkills
Sentry CLI guide
- 525525 downloads
- 117117 likes
- 128128 saves
Works with- Claude Code
- Codex
- Cursor
- and 3 more
FreeSkills
Drizzle ORM best practices with PostgreSQL
- 407407 downloads
- 194194 likes
- 151151 saves
Works with- Claude Code
- Codex
- Cursor
- and 3 more
FreeSkills
SLO design wizard
- 537537 downloads
- 105105 likes
- 242242 saves
Works with- Claude Code
- Codex
- Cursor
- and 3 more
FreeSkills
User stories and sprint fit
- 451451 downloads
- 150150 likes
- 132132 saves
Works with- Claude Code
- Codex
- Cursor
- and 3 more
FreeSkills
Capacity-based sprint plan
- 423423 downloads
- 192192 likes
- 102102 saves
Works with- Claude Code
- Codex
- Cursor
- and 3 more
FreeSkills
Startup CTO advisor
- 580580 downloads
- 201201 likes
- 242242 saves
Works with- Claude Code
- Codex
- Cursor
- and 3 more
FreeSkills
Creating GitHub pull requests with quality checks
- 427427 downloads
- 230230 likes
- 196196 saves
Works with- Claude Code
- Codex
- Cursor
- and 3 more
What you get
- SKILL.md: architecture, embedding pipeline and chunking strategies
- SKILL.md: Qdrant connection, collection creation and dense plus BM25 hybrid search
Good fit for
- You build a question-answering system over internal documents
- You want to reduce hallucinations by grounding answers in documents
Not for
Tags
- rag
- embeddings
- qdrant
- hybrid search
- vectors
About
You say
“Index our internal documents in Qdrant with heading-based chunking and hybrid search.”
Skill published by bagelhole under the MIT license, delivered in its original version.
Show moreShow less
How to use it
- Install the skill in your agent's skills folder
- Ask your agent to build RAG infrastructure for document search
- Review and adjust the result
Content preview
Files
- LICENSE1.1 KB
- NOTICE-PALATEKIT.md0.5 KB
- SKILL.md8.3 KB
Origin and licence
Listed unmodified
- Author
- bagelhole
- Source
- github.com/bagelhole/devops-security-agent-skills/tree/0365f57a079b1332f95cf26e31dd2d5332a8399f/infrastructure/local-ai/rag-infrastructure
- Licence
- MIT
Notice
« rag-infrastructure » (bagelhole, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
User reviews
–
No ratings yet
Loading reviews…