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Commits, branches and sync with the but CLI
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Works with
- Claude Code
- Codex
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RAG implementation: chunking and retrieval v1.0.0
Use this resource to design a RAG pipeline: chunking, embeddings and hybrid search
New
- 592 downloads
- 190 likes
- 145 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install rag-chunking-retrieval-patternsWith 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 document chunking, picks embeddings and a vector store, combines keyword and semantic search, then reranks results. You get a reasoned retrieval architecture and the anti-patterns to avoid.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- MIT
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What you get
- SKILL.md: semantic chunking and hybrid search patterns
- SKILL.md: contextual reranking and anti-patterns to avoid
Good fit for
- Your RAG returns off-topic passages
- You are building semantic search over a document base
Not for
Tags
- rag
- embeddings
- hybrid search
- vectors
About
You say
“Improve retrieval in our contract RAG: chunk by clause and add hybrid search.”
Skill published by davila7 under the MIT license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to design a RAG pipeline: chunking, embeddings and hybrid search
- Review and adjust the result
Content preview
Files
- LICENSE1.1 KB
- NOTICE-PALATEKIT.md0.5 KB
- SKILL.md1.9 KB
Origin and licence
Listed unmodified
- Author
- davila7
- Source
- github.com/davila7/claude-code-templates/tree/f57964ebda91cdfb31755661ecea9395f30020f1/cli-tool/components/skills/ai-research/rag-implementation
- Licence
- MIT
Notice
« rag-implementation » (davila7, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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