CF-native RAG Pipeline — $0/mo
Vectorize + Workers AI + D1 at the edge. Zero infrastructure to manage.

Quick Start · How It Works · Why TideRAG? · Ecosystem

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What Is TideRAG?

Most RAG pipelines force you to spin up a vector database (Pinecone, Weaviate, pgvector), manage embedding infrastructure, and pay per-query costs before you have users. TideRAG runs entirely on Cloudflare's free tier — your vector store, embedding inference, and metadata storage all live at the edge.

import{TideRAG}from'@carloscortezcloud/tiderag';constrag=newTideRAG({vectorize: env.VECTORIZE_INDEX,d1: env.DB,ai: env.AI,});// Index a documentawaitrag.ingest({id: 'doc-1',content: 'Cloudflare Workers run on V8 isolates...',metadata: {source: 'docs',category: 'compute'},});// Queryconstresults=awaitrag.query('How do Workers work?',{topK: 3});

Install

npm install @carloscortezcloud/tiderag

Quick Start

1. Install

npm install @carloscortezcloud/tiderag

2. Configure wrangler

# wrangler.jsonc{"vectorize": [{ "binding": "VECTORIZE_INDEX", "index_name": "tiderag" }],"d1_databases": [{ "binding": "DB", "database_name": "tiderag", "database_id": "..." }],"ai": { "binding": "AI" }}

3. Ingest & query

import{TideRAG}from'@carloscortezcloud/tiderag';constrag=newTideRAG({vectorize: env.VECTORIZE_INDEX,d1: env.DB,ai: env.AI});awaitrag.ingest({id: 'doc-1',content: 'Your document text here...',metadata: {source: 'docs'}});constresults=awaitrag.query('Your question',{topK: 3});

How It Works

User Query
│
▼
┌──────────────────┐
│ Workers AI │ ← Embed query via @cf/baai/bge-small-en-v1.5 (free)
│ (embedding) │
└──────┬───────────┘
│ vector
▼
┌──────────────────┐
│ Vectorize │ ← 10M vector index (free tier)
│ (similarity) │
└──────┬───────────┘
│ top-K IDs
▼
┌──────────────────┐
│ D1 │ ← Metadata + chunk storage (5GB free)
│ (metadata) │
└──────┬───────────┘
│ enriched chunks
▼
┌──────────────────┐
│ LLM Response │ ← Augment prompt, return answer
└──────────────────┘

Why TideRAG?

Feature	TideRAG	Managed RAG (Pinecone, etc.)
Cost	$0/mo (free tier)	$70–$700+/mo
Latency	<50ms (edge)	100–500ms (regional)
Infra	Zero	Vector DB + embedding API
Scaling	Auto (Cloudflare)	Manual
Data locality	Edge (175+ cities)	Regional

Deployment

npx wrangler deploy

Ecosystem

Package	Role	npm
TideRAG	Edge RAG (this)	@carloscortezcloud/tiderag
Tinkuy	Agent framework	@carloscortezcloud/tinkuy-agent
Styrr	LLM router	styrr
Sayay	Cost guardrails	GitHub
Qhaway	Agent observability	@carloscortezcloud/qhaway

License

Apache 2.0 — see LICENSE.

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Built by engineers who got tired of $700 vector DB bills.
Tinkuy Labs · finoptix.dev

_{Your RAG pipeline costs $0/mo. Your AI agent should too.}