ProductAI Engine
pgvector AI Database extension
Dedicated vector database engines to store embeddings and execute semantic search query matches.
extrabase-database-admin
| ID | NAME | TYPE | STATUS |
|---|---|---|---|
| #1 | Project alpha | NodeJS | Healthy |
| #2 | Auth Server | GoLang | Healthy |
| #3 | Asset store | Python | Idle |
Architecture & Design
Transform Postgres into a highly capable Vector Database. Store machine learning embeddings, run cosine similarity match calculations, and execute retrieval-augmented generation (RAG) processes directly.
AI Core Features
- pgvector integration
- HNSW index support
- Standard SQL vector math
Vector Engine Features
- Store high-dimensional vector embeddings natively in table columns
- Fast similarity indexing using IVFFlat and HNSW structures
- Standard SQL queries combined with semantic search parameters
- Integrated seamlessly with OpenAi and Hugging Face pipelines
- Automatic indexing scale and connection concurrency