About this category
RAG & Knowledge-Base Starters on Attesar
New listings are reviewed and published daily. Retrieval pipelines — ingestion, chunking, embedding, reranking and evaluation — delivered with source. Every seller here is identity-verified, every listing is reviewed before publication, and your payment is protected until you confirm delivery.
Retrieval quality is the product
Almost anyone can wire an embedding model to a vector store. What separates a usable pipeline is chunking strategy, reranking, and whether there is an evaluation set that proves the answers improved. Listings state whether an evaluation set is included — it is the single most useful thing to look for.
The sample corpus tells you something
Sellers must name where their sample documents came from, and may not ship a client's corpus or a scraped dataset inside the package. A pipeline demonstrated on documents the seller had no right to distribute is a problem you inherit.
Know where your documents end up
Check which embedding and generation providers the pipeline calls, whether it sends full documents or chunks, and whether the vector store is self-hosted. If you handle regulated or customer data, that path matters more than benchmark numbers.