Antfly vs pgvector
Open-source vector similarity search for PostgreSQL
Feature Comparison
| Feature |  Antfly | pgvector |
|---|---|---|
| Price | ||
| Price | $ Open source, self-hosted | $ Free extension — PostgreSQL hosting varies |
| Search | ||
| Vector Search | Native Built-in vector engine with hybrid search | Native IVFFlat and HNSW indexes for vector similarity |
| Full-Text Search | Native BM25 + semantic hybrid search | Native PostgreSQL built-in tsvector/tsquery |
| Hybrid Search | Native Unified BM25 + vector scoring in a single query | Partial Requires custom SQL combining tsvector + vector queries |
| AI Models | ||
| Model Execution | Native Termite runs embedders, rerankers, chunkers locally | None No model execution — requires external APIs |
| Re-ranking | Native Built-in cross-encoder reranking via Termite | None No native reranking |
| End-to-End RAG | Native Ingest, embed, store, retrieve, rerank, generate | None Requires 4-5 external services for a full pipeline |
| Modalities | ||
| Text | Native Built-in text embeddings via Termite | Partial Stores text vectors — requires external embedding |
| Image | Native CLIP image embeddings via Termite | None No native image support |
| Audio | Native Audio embeddings via Termite | None No native audio support |
| Video | Native Video frame embeddings via Termite | None No native video support |
Native PDF chunking and embedding via Termite | None No native PDF support | |
| Storage | ||
| Structured Data / ACID | Native Full document store with ACID transactions | Native Best-in-class relational database with full ACID |
| Distributed Consensus | Native Multi-Raft consensus with automatic sharding | Partial Relies on Citus or manual partitioning for distribution |
| Multi-Tenancy | Native Namespace-level tenant isolation | Partial Schema or row-level security based |
| Hosting | ||
| Self-Hosted | Native Run anywhere — single binary or Kubernetes | Native Self-hosted anywhere PostgreSQL runs |
| Cloud-Hosted | Partial Cloud offering coming soon | Native Available on RDS, Supabase, Neon, and others |
| Operations | ||
| Operational Simplicity | Native Single binary, zero-config swarm mode | Partial Requires PostgreSQL administration, extension management, vacuum tuning |
Why Antfly
- Purpose-built for AI search vs. bolting vectors onto a relational database
- Built-in ML inference eliminates external embedding API costs
- Hybrid BM25 + vector search without hand-rolled SQL
- Single binary with zero config vs. PostgreSQL cluster administration
- End-to-end RAG pipeline without external orchestration
Pricing
Antfly
Open source, self-hosted. Cloud pricing TBD.
pgvector
Free extension. PostgreSQL hosting varies — RDS from ~$30/mo, Supabase from $25/mo.
pgvector itself is free, but a production PostgreSQL deployment plus external embedding services add up quickly.
Deep Dive
pgvector brings vector similarity search to PostgreSQL — a compelling option if your team already runs Postgres and wants to add semantic search without introducing a new database.
The trade-off is that pgvector is a storage layer for vectors, not an AI platform. You still need external services for embedding generation, reranking, chunking, and RAG orchestration. Hybrid search requires hand-crafted SQL combining tsvector and vector queries, and scaling beyond a single node means reaching for Citus or manual partitioning.
Antfly provides all of these capabilities in a single binary — vector search, BM25, local ML inference, and a complete RAG pipeline — purpose-built for AI workloads rather than adapted from a relational database.