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Compare listed plans and check current offer terms with Upstash Vector
The catalog lists this free option; confirm its current limits and eligibility with Upstash Vector
💡 Pro tip: Start with the free tier to test if Upstash Vector fits your workflow before upgrading to a paid plan.
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If Upstash Vector's pricing doesn't fit your budget, consider these ai memory & search alternatives:
Managed vector database for RAG and AI search with serverless scaling, hybrid retrieval, and an inference layer.
Free tier available
✓ Free plan available
An open-source and managed vector database for semantic search, retrieval, recommendation, and agent memory.
Free tier available
✓ Free plan available
Open-source AI application database with vector, full-text, and metadata search — designed to be embeddable, easy to run locally, and now offered as Chroma Cloud with usage-based serverless pricing from $5/month.
Free tier available
Pinecone offers lower latency (single-digit ms vs 10-50ms), larger scale, and more advanced features like sparse-dense hybrid search. Upstash Vector wins on pricing model (true pay-per-request vs Pinecone's pod/serverless tiers), edge runtime compatibility (REST API vs gRPC), and simplicity. Choose Pinecone for production workloads needing speed and scale. Choose Upstash for serverless/edge deployments where the REST API and cost model matter more.
No. Upstash Vector is a managed cloud service only with no open-source version. The REST API can be called from any environment, but data and compute run on Upstash infrastructure. For self-hosting needs, consider Qdrant, Chroma, or pgvector.
A RAG app making 50,000 queries per day costs roughly $6/month on pay-as-you-go ($0.40 per 100K requests). Storage costs are separate and depend on vector count and dimension. The free tier handles 10K queries/day and 10K vectors at $0. For most small to mid-size applications, total costs stay under $20/month.
Upstash Vector supports BGE-base-en (English), BGE-large-en (higher quality English), and multilingual-e5-large for multi-language support. You can also bring your own embeddings from OpenAI, Cohere, or any provider by specifying the matching dimension size when creating the index.
Start with the free tier and upgrade when you need more features
Get Started with Upstash Vector →Listed prices may change. Confirm current prices and offer terms with the vendor.