OSS Document Store for OpenSearch RAG Pipeline

Scenario

Upload knowledge base documents (PDFs, text files, markdown) to OSS as the durable source-of-truth storage layer, then build a RAG pipeline with OpenSearch that chunks, embeds, and indexes those documents for retrieval-augmented generation queries.

How the products combine

1. oss · oss-manage-objects — Object Storage Service — Manage storage objects (upload, download, copy, etc.)

See oss/oss-manage-objects.

2. opensearch · opensearch-build-solution — OpenSearch — Build a Retrieval-Augmented Generation (RAG) solution

See opensearch/opensearch-build-solution.

Typical questions

• build rag with documents in oss
• upload docs to oss then search with opensearch
• oss存储文档结合opensearch做rag
• rag pipeline with oss storage
• store knowledge base files and build rag
• opensearch rag读取oss文档
• document storage and retrieval pipeline
• oss文件接入opensearch检索增强

Q: How do I build a RAG pipeline with OpenSearch using OSS for document storage? A: You can build a RAG pipeline with OpenSearch by uploading knowledge base documents to OSS as the durable storage layer and then configuring OpenSearch to chunk, embed, and index them for retrieval-augmented generation. OSS manages the underlying storage objects while OpenSearch provides the indexing and querying capabilities required for the solution.