search

Search

Vector Search

Vector Search is a search capability available through Weaviate, Upstash, Typesense on Aweb. Similarity search using vector embeddings. Access it through a single unified API with automatic failover and intelligent routing.

Try Vector SearchAPI docs

Best for

Highest quality

Weaviate, Upstash

Premium tier

Most affordable

Upstash, Typesense

Economy tier

Contract

Max Latency3000ms

Providers (3)

ProviderScoreQualityPricing
WeaviateDEFAULT
86premiumstandard
Upstash
85premiumeconomy
Typesense
90premiumeconomy

Quick start

Call Vector Search through Alfred — automatic provider selection, failover, and load balancing included.

cURL

curl -X POST https://api.alfred-ai.app/v1/execute \
  -H "Authorization: Bearer $ALFRED_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "capability": "search.vector",
    "input": { "prompt": "Hello world" }
  }'

TypeScript

import { Alfred } from '@alfred/core';

const alfred = new Alfred({ apiKey: process.env.ALFRED_API_KEY });

// Alfred automatically selects the best provider
const result = await alfred.execute({
  capability: 'search.vector',
  input: { prompt: 'Hello world' },
});

console.log(result.output);

Orchestration pipeline

import { Alfred } from '@alfred/core';

const alfred = new Alfred({ apiKey: process.env.ALFRED_API_KEY });

// Multi-step pipeline with automatic failover
const result = await alfred.orchestrate({
  steps: [
    { id: 'step1', capability: 'search.vector', input: { prompt: 'Hello world' } },
    { id: 'step2', capability: 'llm.chat', dependsOn: ['step1'],
      input: { prompt: 'Summarize: $step1.output' } },
  ],
});

Related Search capabilities

Web Search

search

Image Search

search

News Search

search

Hybrid Search

search

AI-Powered Search

search

Academic Paper Search

search

Getting started →API reference →All providers →All capabilities →