Deploy Railway AI Docs Search (Cohere + pgvector)

Semantic search engine for your documents, using Cohere embeddings

Deploy Railway AI Docs Search (Cohere + pgvector)

worker

Sanjeev-Kumar78/railway-ai-search-template

Just deployed

backend

Sanjeev-Kumar78/railway-ai-search-template

Just deployed

frontend

Sanjeev-Kumar78/railway-ai-search-template

Just deployed

pgvector

pgvector/pgvector:pg16

Just deployed

/var/lib/postgresql/data

Deploy and Host Railway AI Docs Search (Cohere + pgvector) on Railway

Railway AI Docs Search is a full-stack semantic search engine that lets you query your documents by meaning instead of exact keywords. It uses Cohere embeddings with pgvector for lightning-fast similarity search, all deployed seamlessly on Railway.

GitHub Repository: https://github.com/Sanjeev-Kumar78/railway-ai-search-template

About Hosting Railway AI Docs Search (Cohere + pgvector)

Hosting this project on Railway gives you a ready-to-use infrastructure for AI-powered document search.
The template includes:

  • A Next.js frontend for an intuitive UI.
  • A Node.js backend to handle API requests.
  • A worker service to process and store embeddings.
  • A PostgreSQL database with pgvector to store vector representations.

Once deployed, you can upload documents, index them into embeddings via Cohere, and instantly run semantic searches in your browser.

Common Use Cases

  • Internal documentation search for engineering teams.
  • AI-powered knowledge base for customer support.
  • Academic research paper retrieval by meaning.

Dependencies for Railway AI Docs Search (Cohere + pgvector) Hosting

  • Cohere API KeyGet it here for generating embeddings.
  • pgvector PostgreSQL Extension – for storing and searching high-dimensional vectors.

Deployment Dependencies

Implementation Details

Example SQL for creating the table if not present:

CREATE TABLE IF NOT EXISTS documents ( id SERIAL PRIMARY KEY, content TEXT, embedding VECTOR(1024) );

Why Deploy Railway AI Docs Search (Cohere + pgvector) 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 Railway AI Docs Search (Cohere + pgvector) 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.


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