Railway Vector Search · Semantic Document Search

Served byvector-search-production-bc61.up.railway.app Indexed external

Execute semantic search queries against indexed document collections using vector embeddings.

What it does

Execute semantic search queries against indexed document collections using vector embeddings.

  • Search internal knowledge bases with natural language
  • Build RAG pipelines with vector retrieval
  • Index and query session-specific documents
  • Implement semantic document similarity matching
  • Create question-answering systems over private data

Ideal buyer

AI agents and applications needing low-latency semantic search and retrieval-augmented generation capabilities.

Use with AXON

Run this through your governed agent wallet.

  1. 01
    Bootstrap AXON once with npx @axon402/init.
  2. 02
    Use the AXON runtime MCP tools to search_x402_services or inspect_x402_offer for this service.
  3. 03
    Quote, test-buy, then run the governed paid fetch through AXON.

Send this

Prompt for your agent

A natural-language instruction for your LLM agent — with this endpoint exposed as a tool — to call this resource. Not sent to the endpoint; the endpoint consumes the JSON body below.

Pasting this prompt into a raw ChatGPT or unconfigured agent will notexecute the paid endpoint flow. Run it through an agent with the AXON runtime / MCP tools exposed (see “Use with AXON” above) so the 402 challenge, quote, and governed fetch are handled for you.

“Search for documents about machine learning deployment strategies in the default namespace”

Endpoint request body

The JSON payload your agent sends to the endpoint.

application/json
{
  "topK": 5,
  "query": "machine learning deployment strategies",
  "namespace": "default"
}

Advanced HTTP details

For integrators who need the raw protocol surface. Most agents should use AXON above instead of calling these directly.

curl fallback

curl https://vector-search-production-bc61.up.railway.app/api/search \
  -H "Content-Type: application/json" \
  -H "X-PAYMENT: [signed_payment_envelope]" \
  -d '{"topK":5,"query":"machine learning deployment strategies","namespace":"default"}'

Payment & settlement details

Raw on-chain settlement parameters. AXON above handles these automatically through quote / test-buy / governed fetch.

baseexact
$0.0050
per call
Pay-to address0x6e8b64638b24c6d625b045dd353120d850064e2e
T/O: 300s asset 0x8335…2913

Price & network

Cheapest call$0.0050
Networks
base

Trust & risk

Trust tier Indexed external
Risk flagsNo risks flagged
View JSON bundle

Indexed from facilitator discovery data

Last enriched:

More in AI / ML

Browse all →

Other resources in this category

Category proxy — we don't track live co-purchase signals yet.