RAG
RAG
Plug-and-play retrieval. Chunk, embed, search, rerank, loaders.
#Core pipeline
createRAG({ embed, store })— one-liner ingest + retrieve + search.chunkText({ chunkSize, chunkOverlap, split })— standalone splitter.
#Reranking + hybrid
createRerankedRetriever— plug in Cohere Rerank, BGE, or the built-in BM25.createHybridRetriever— vector + BM25 blend with weighted normalization.- Recipe: RAG reranking.
#Document loaders
loadUrl,loadGitHubFile,loadGitHubTree,loadNotionPage,loadConfluencePage,loadGoogleDriveFile,loadPdf(BYO parser).- Recipe: Document loaders.
Per-loader + per-reranker deep dives land in step 4 of the docs IA rollout.