About RAGStackGuide
RAGStackGuide covers retrieval-augmented generation as an engineering stack: chunk size and overlap and how to choose them, embedding models, vector databases including Qdrant, Milvus and Pinecone, hybrid search and reranking, and measuring retrieval quality rather than guessing at it.
It is written for people building a RAG pipeline that has to answer correctly, not just plausibly. Sources are project documentation, published papers and vendor benchmark disclosures. Where a guide states a number, it names the document that number came from.
What is covered here
- Embeddings
- Pipeline Design
- RAG
- Retrieval Quality
- Troubleshooting
- Vector Databases
Tools
The site also publishes one interactive tool, a chunk and vector index sizer, which turns a corpus size, chunk size, overlap ratio and embedding width into a vector count, an index RAM estimate and a one-time embedding cost. It states its own assumptions and links the sources they come from.
Open the chunk and vector index sizing calculator, or start with the RAG pipeline build order if you are assembling a pipeline from scratch.
6 articles are published so far. New articles are announced on the RSS feed; there is no fixed publishing schedule and this site does not promise one.
How these articles are produced
Articles are researched from primary sources: vendor and project documentation, published standards and specifications, release notes, advisories, and measurements published by the people who took them. Drafts are produced with AI assistance and then edited against those same sources before anything is published. Where a figure comes from a datasheet or a third-party measurement, the article names the source and links to it so you can check the original rather than take this site's summary of it.
Everything here is published under the RAGStackGuide Editorial byline. That is an editorial desk, not a person, and no article on this site claims hands-on lab testing, benchmarking, or first-hand measurement. Nothing here should be read as a report of something this site physically tested.
Corrections
Getting it right matters more than getting it first. If something on this site is wrong, out of date, or missing the source it should cite, email [email protected] with the page and the specific claim. Substantive corrections are made on the page itself rather than quietly dropped.
How this site is funded
This site currently runs no affiliate links, no sponsored content, no paid placement, and no display advertising. Nothing on it earns a commission. If that changes, this page and the disclosure page will say so before any such link appears.
The full position is on the disclosure page. Read it before acting on anything here that reads like a buying recommendation.
Related sites
RAGStackGuide is run alongside a small number of other single-topic sites:
- LLMOps Report - Operating LLMs in production — eval, observability, cost, latency.
- ML Observe - ML observability deep dives — drift, debugging, monitoring.
Contact
Email: [email protected]
Site: ragstackguide.com
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