PG Vector vs Weaviate

Compare deployment options, cost efficiency, and features to choose the right vector database for your application. If you want to compare these models on your data, try Agentset.

Database Comparison

PG Vector takes the lead.

Both PG Vector and Weaviate are powerful vector databases designed for efficient similarity search and storage. However, their deployment options and features differ in important ways.

Why PG Vector:

  • PG Vector ranks higher overall
  • PG Vector offers more deployment options
  • PG Vector is more cost-effective
  • PG Vector has more permissive licensing
  • PG Vector has 1 more strengths

Vector Databases Are Just One Piece of RAG

Agentset gives you a managed RAG pipeline with the top-ranked models and best practices baked in. No infrastructure to maintain, no vector database to operate.

Trusted by teams building production RAG applications

5M+
Documents
1,500+
Teams
99.9%
Uptime

PG Vector

PG Vector is a popular Postgres extension that adds vector search capabilities directly inside a traditional relational database. It is ideal for teams that want to keep embeddings, metadata, and application data in one system without operating a separate vector database.

Deployment: Self-Hosted, Managed Cloud
Cost: Free (extension), infra cost only
License: PostgreSQL
View full details

Weaviate

Weaviate is a cloud and self-hosted vector database offering hybrid dense+sparse search, strong metadata filtering, and a modular storage layer. It is designed for enterprise and production RAG workloads that require flexibility and scalable cloud hosting.

Deployment: Self-Hosted, Managed Cloud
Cost: Free (self-host), cloud starts ~$25/mo
License: BSD
View full details

Build RAG in Minutes, Not Months

Agentset gives you a complete RAG API with fully managed vector storage and retrieval. Upload your data, call the API, and get accurate results from day one.

import { Agentset } from "agentset";

const agentset = new Agentset();
const ns = agentset.namespace("ns_1234");

const results = await ns.search(
  "What is multi-head attention?"
);

for (const result of results) {
  console.log(result.text);
}

Feature Comparison

Infrastructure & Technical Details

FeaturePG VectorWeaviate
DeploymentSelf-Hosted, Managed CloudSelf-Hosted, Managed Cloud
CostFree (extension), infra cost onlyFree (self-host), cloud starts ~$25/mo
LicensePostgreSQLBSD
Index TypesFlat, IVFFlat, HNSWHNSW, Hybrid dense+sparse
Cloud ProvidersAWS RDS, Azure Postgres, GCP AlloyDB, Supabase, TimescaleAWS, GCP
Regional Flexibilityhighlow
Strengths98
Weaknesses76