Voyage AI alternatives
Depot pick for RAG rerank. Keep Cohere as general embeddings default (enterprise + multilingual maturity)…
Overall 8.4 (curated_estimate, high) · score asOf 2026-09-14 · last reviewed 2026-09-14. This is not an Elo and not a live price board. Provider · JSON
Jobs: embeddings, rag-memory, rag-rerank, batch-cheap-embeddings, late-interaction-retrieval
| Provider | Why listed | Overall | Δ vs subject | asOf |
|---|---|---|---|---|
| Jina AI Promoted high after pinning official models API token matrix ($0.05/1M). Best as EU-friendly all-in-one… | same_jtbd_runner, same_jtbd_pick · embeddings, rag-rerank, batch-cheap-embeddings | 8.12high | -0.28 | 2026-09-14 |
| Cohere Use for retrieval stacks (embed+rerank), not as your primary agent brain. Quietly excellent at enterprise RAG. | same_jtbd_pick, same_jtbd_runner · embeddings, rag-rerank, batch-cheap-embeddings | 7.95high | -0.45 | 2026-10-19 |
| Supabase (pgvector) Depot default for most agent apps under ~25–50M vectors. Don't add Pinecone until Postgres actually hurts. | same_jtbd_pick · rag-memory | 8.64high | +0.24 | 2026-09-14 |
| Google AI (Gemini) Best value frontier stack and multimodal king. Use Flash for high-volume agent loops; Pro when quality… | same_jtbd_runner · embeddings, batch-cheap-embeddings | 8.43high | +0.03 | 2026-10-19 |
| OpenAI Default when you want maximum capability and ecosystem glue. Multi-home critical paths behind OpenAI-compat… | same_jtbd_runner · embeddings, batch-cheap-embeddings | 8.22high | -0.18 | 2026-09-14 |
| Qdrant Depot pick for serious vector workloads with filters. Self-host or Cloud — either way you can leave. | same_jtbd_runner · rag-memory | 8.59high | +0.19 | 2026-10-19 |
| Upstash Redis Default serverless-edge-redis. Use classic Redis Cloud when you need always-on fat memory / Redis modules… | same_jtbd_runner · rag-memory | 8.49high | +0.09 | 2026-09-14 |
| Typesense Cloud Hybrid search peer when you want Algolia-like DX without per-request fees. Sample $0.03/hr floor pinned… | same_jtbd_runner · late-interaction-retrieval | 8.29high | -0.11 | 2026-09-14 |
| Turbopuffer When your vector bill scares you and much of the corpus is cold, Turbopuffer is the interesting answer. | same_jtbd_runner · rag-memory | 8.21high | -0.19 | 2026-09-14 |
| Upstash Vector Prototype/edge RAG peer when you already on Upstash. Prefer Qdrant/Pinecone for serious filtered production… | same_jtbd_runner · rag-memory | 8.15high | -0.25 | 2026-09-14 |
| Redis Use as agent hot memory/cache, not as your only 100M-vector archive. | same_jtbd_runner · rag-memory | 8.07high | -0.33 | 2026-09-14 |
| Hugging Face Inference Perfect for Hub-native workflows and custom models. For hard production latency, graduate to… | same_jtbd_runner · embeddings | 7.95high | -0.45 | 2026-09-14 |
Prices are not ranked on this page. For a job, use the sourced quote (separate input and output rows, Depot Pick unchanged): embeddings, rag-memory, rag-rerank, batch-cheap-embeddings.
Alternatives are other catalog providers that share a JTBD as pick or runner-up. If fewer than three exist, same-category active providers fill the list and are labeled same_category. Overall deltas are catalog scores. kind=curated_estimate is not a lab measurement. Pricing rows are sourced or explicitly null. Do not parse pricingNotes. A single normalized USD figure is set only for a provider with exactly one token row.