kitio.aipgvector vs GGML
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. pgvector starts at Free and GGML starts at Free. Check both pricing pages for current plans.
At a glance
Best for
Category
Pricing model
Starting price
Free plan
Made by
Based in
Rating
Key features
- Vector column type
- HNSW and IVFFlat indexes
- Multiple distance metrics
- Plain SQL queries
- Wide cloud support
- Tensor library in C
- Integer quantisation
- Broad hardware support
- No third-party dependencies
- Used by llama.cpp and whisper.cpp
| Feature | pgvector | GGML |
|---|---|---|
| Best for | Open-source vector similarity search extension for Postgres | Lightweight tensor library for running large models locally |
| Category | Models & APIs | Models & APIs |
| Pricing model | Free | Free |
| Starting price | Free | Free |
| Free plan | Yes, fully free | Yes, fully free |
| Made by | pgvector contributors | ggml.ai |
| Based in | – | – |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
pgvector starts at Free and GGML starts at Free. Check both pricing pages for current plans.
Free plan
Cheapest paid plan
Top plan
Free trial
Prices in USD, checked Oct 28, 2026 or later. Plans change often, so confirm on each tool's site before you buy.
Pros and cons
pgvector
- Uses your existing database
- Free and widely supported
- Full SQL power
- Slower than specialized engines at scale
- Index builds use memory
- Tuning needs Postgres skills
GGML
- Free and MIT licensed
- Runs on commodity hardware
- Minimal and dependency free
- Low-level library, not an end-user app
- Requires programming knowledge
- Commercial extensions may arrive later
Which one should you choose?
Choose pgvector if you want:
- Uses your existing database
- Free and widely supported
- Full SQL power
Watch out: slower than specialized engines at scale.
Choose GGML if you want:
- Free and MIT licensed
- Runs on commodity hardware
- Minimal and dependency free
Watch out: low-level library, not an end-user app.
pgvector vs GGML FAQ
What is the difference between pgvector and GGML?
pgvector: Open-source vector similarity search extension for Postgres. GGML: Lightweight tensor library for running large models locally. Both are models & apis tools.
Is pgvector or GGML cheaper?
pgvector starts at Free and GGML starts at Free. Check both pricing pages for current plans.
Do pgvector and GGML have free plans?
pgvector: Yes, fully free. GGML: Yes, fully free.
Who makes pgvector?
pgvector is made by pgvector contributors.
Who makes GGML?
GGML is made by ggml.ai.
Which should I choose, pgvector or GGML?
Choose pgvector if you value uses your existing database and free and widely supported. Choose GGML if you value free and mit licensed and runs on commodity hardware.