rag-document-ingestion-pipeline

rag-document-ingestion-pipeline - Skill Dossier

rag-document-ingestion-pipeline

rag-document-ingestion-pipeline

Build production document ingestion pipelines with chunking, embedding, and vector DB storage. Activate on: document ingestion, chunking strategy, embedding pipeline, vector DB ingestion, RAG indexing. NOT for: LLM prompt design (prompt-engineer), retrieval query logic (ai-engineer), or vector DB ops/migration (vector-database-migration-tool).

AI & Machine Learning

#rag#embeddings#vector-database#document-processing#chunking

Allowed Tools

ReadWriteEditBash(python:*pip:*npm:*npx:*)

Pairs With

RAG retrieval and query logic sits downstream of ingestion

data-pipeline-engineer

ETL patterns for source extraction before chunking

vector-database-migration-tool

Schema and index design for the target vector store

rag-document-ingestion-pipeline preview

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Coming in Spring 2026 Beta

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