ANTHROPIC / REACT / NEXT.JS / VECTOR DB
Claude AI Integration
Activity Checklist
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01 — Prerequisites
0/3Create an Anthropic accountAccount▼
Generate an API keyConfig▼
Confirm Node.js ≥ 18System▼
02 — Project Setup
0/4Scaffold your appInit▼
Install Anthropic SDKPackage▼
Install Vercel AI SDK (optional but recommended)Package▼
Set environment variablesConfig▼
03 — API Route / Backend
0/4Create an API routeBackend▼
Initialise the Anthropic clientBackend▼
Call claude-sonnet-4-20250514 (latest)Backend▼
Return a streaming responseBackend▼
04 — Vector Database (choose one)
0/5Option A — Third-party: Pinecone3rd Party▼
Option B — Third-party: Supabase pgvector3rd Party▼
Option C — Third-party: Weaviate Cloud3rd Party▼
Option D — Self-hosted: Chroma (local dev)Self-hosted▼
Option E — Self-created: in-memory JS storeCustom▼
05 — Embeddings & RAG Pipeline
0/5Generate embeddingsEmbeddings▼
Chunk your documentsData Prep▼
Index chunks into your vector DBIndexing▼
Query pipeline: embed → search → augment promptRAG▼
Pass retrieved context to ClaudeRAG▼
06 — Frontend UI
0/4Build a chat componentUI▼
Render Markdown from ClaudeUI▼
Add streaming indicatorsUI▼
Handle errors gracefullyUI▼
07 — Security & Best Practices
0/4Never expose ANTHROPIC_API_KEY client-sideSecurity▼
Rate-limit your API routeSecurity▼
Validate and sanitize user inputSecurity▼
Add .env.local to .gitignoreSecurity▼
08 — Deploy
0/3Deploy to VercelDeploy▼
Configure serverless function timeoutDeploy▼
Test end-to-end in productionDeploy▼
SDK: @anthropic-ai/sdk · AI SDK: vercel/ai · Model: claude-sonnet-4-20250514
Vector options: Pinecone · Supabase pgvector · Weaviate · Chroma · Custom in-memory
docs.claude.com · console.anthropic.com