Deploy and Host tidepool on Railway

Tidepool is a fast, S3-native vector database for scalable similarity search. It combines HNSW/IVF vector indexing with BM25 full-text search, enabling hybrid semantic and keyword queries. Designed for cost-effective cloud deployment using object storage as the primary data store.

About Hosting tidepool

Tidepool deploys as two stateless services: a query service for read-only vector search and an ingest service for writes and background compaction. Both services connect to S3-compatible object storage (like Railway Object Storage) as the source of truth. The architecture eliminates distributed consensus complexity—services scale horizontally by simply adding replicas that read from the same S3 bucket. Optional persistent volumes at /data enable segment caching for reduced S3 reads and faster queries.

Common Use Cases

Semantic search and RAG (Retrieval-Augmented Generation) for AI applications Hybrid search combining vector similarity with keyword matching Multi-tenant SaaS with namespace isolation and LRU eviction Real-time recommendation systems with sub-second write-to-query latency

Dependencies for tidepool Hosting

None

Deployment Dependencies

None

Implementation Details

Tidepool API clients https://github.com/milannair/tidepool-python https://github.com/milannair/tidepool-go https://github.com/milannair/tidepool-typescript

Why Deploy tidepool on Railway?

Railway is a singular platform to deploy your infrastructure stack. Railway will host your infrastructure so you don't have to deal with configuration, while allowing you to vertically and horizontally scale it.

By deploying tidepool on Railway, you are one step closer to supporting a complete full-stack application with minimal burden. Host your servers, databases, AI agents, and more on Railway.