How would you design an ingestion and indexing pipeline for RAG?

Builds a repeatable path from governed source documents to parsed, chunked, embedded, traceable, and replaceable index records.

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TL;DR

I read from an approved source, assign stable document and version identifiers, extract text and structure, split it into retrievable units, attach metadata, create embeddings, and upsert the resulting records idempotently. Each chunk keeps a link to its source and source version. Parsing or embedding failures go to a visible retry or review path instead of leaving a silently partial index.

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Practice focus

Ingestion idempotency, provenance, parsing, failure isolation, and source-to-index lifecycle.

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Answer path

Core answer first, then checkpoints toward a stronger answer.

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Core answer
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Overview
A reliable RAG system starts with controlled ingestion, not with the generation prompt.
I read from an approved source, assign stable document and version identifiers, extract text and structure, split it into retrievable units, attach metadata, create embeddings, and upsert the resulting records idempotently. Each chunk keeps a link to its source and source version. Parsing or embedding failures go to a visible retry or review path instead of leaving a silently partial index.
Checkpoint
Stronger answer
Optional upgrade with examples, trade-offs, and sharper phrasing.
I separate discovery, parsing, chunking, embedding, and index publication so one bad PDF does not block unrelated content. A new document version is built into a staging generation of records, validated, and then made queryable before obsolete records are removed. Metrics cover source lag, parse failures, empty text, chunk counts, embedding errors, and index write outcomes.

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Common mistakesCandidateCommon mistakesMistakes that weaken the answer or signal shallow understanding.Open details

Details

Embedding documents without stable source identifiers.
Publishing a partially rebuilt index silently.
Ignoring deletes and permission changes from the source.

How would you design an ingestion and indexing pipeline for RAG?

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