File Processing





Pattern
Chunk strategy compare
Compare small, large, and paragraph-window chunking on one document with cosine similarity — no vector database.
IntermediateSep 2026View the full pattern on desktop


Problems solved
- See how chunk size and packing change retrieval on the same document
- Rank three chunking strategies with AI SDK Core cosineSimilarity
- Teach chunking as a retrieval hyperparameter without a vector database
Use cases
- Choosing a chunking strategy for RAG
- Workshops on embeddings without a vector database
- Comparing retrieval quality across chunk windows
AI SDK APIs
embedcosineSimilarity
Tags
raglocal-ragchunkingembeddingssimilarity-searchjsonai-sdk
Requirements
- Node.js
- 24+
- Memory
- 256MB
- Other
- Vercel AI Gateway API key
Environment variables
AI_GATEWAY_API_KEYGet key
External services
vercel-ai-gatewayupstash
Ready to use?
View the full interactive pattern with live preview and copy the source code.
View the pattern on desktopRelated patterns


Local RAG Chat
Load a sample Local RAG index, rank chunks in the browser, and stream a cited answer without a vector database.
raglocal-rag+6
View pattern →


Local RAG Ingest
Chunk local text, create embeddings, and export a portable RAG index without a vector database.
ragretrieval-augmented-generation+5
View pattern →



