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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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Setting up a RAG pipeline v1.0.0
Use this resource to set up a RAG pipeline: chunking, embeddings, vector storage and retrieval
New
- 560 downloads
- 189 likes
- 158 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install rag-pipeline-implementationWith 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 walks you through building a RAG pipeline, from document chunking to retrieving relevant passages, including the choice of vector database and embedding model. You get a Java pipeline example and a vector store configuration to adapt.
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: six-step method, from vector database to evaluation
- references/: chunking, embedding models, retrieval strategies and vector databases
- assets/: Java retrieval pipeline and YAML configuration
Good fit for
- You want to answer questions about your internal documents
- Your chatbot must rely on a sourced knowledge base
Not for
Tags
- rag
- embeddings
- vector search
- knowledge base
About
You say
“Set up a RAG pipeline to query my PDF contracts with cited sources.”
Skill published by giuseppe-trisciuoglio 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 set up a RAG pipeline: chunking, embeddings, vector storage and retrieval
- Review and adjust the result
Content preview
Files
- assets/retriever-pipeline.java12.5 KB
- assets/vector-store-config.yaml3.2 KB
- LICENSE1.1 KB
- NOTICE-PALATEKIT.md0.5 KB
- references/document-chunking.md4.5 KB
- references/embedding-models.md2.7 KB
- references/langchain4j-rag-guide.md2.9 KB
- references/retrieval-strategies.md4.7 KB
- references/vector-databases.md2.7 KB
- SKILL.md7.1 KB
Origin and licence
Listed unmodified
- Author
- giuseppe-trisciuoglio
- Source
- github.com/giuseppe-trisciuoglio/developer-kit/tree/fe73fb33a09ee6562eeec7415a3f9a3bcf795177/plugins/developer-kit-ai/skills/rag
- Licence
- MIT
Notice
« rag » (giuseppe-trisciuoglio, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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