Regular-RAG
Framework-agnostic RAG engine with built-in support for Knowledge Graphs and PostgreSQL/pgvector.
Pricing
See website
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
—Overview
What is Regular-RAG?
Regular-RAG is a framework-agnostic Retrieval-Augmented Generation (RAG) engine that supports integration with Knowledge Graphs and PostgreSQL/pgvector, making it suitable for developers looking to enhance their applications with retrieval-augmented generation capabilities.
Key differentiator
“Regular-RAG stands out as a framework-agnostic RAG engine with built-in support for Knowledge Graphs, offering developers flexibility in integrating retrieval-augmented generation capabilities without vendor lock-in.”
Capability profile
Strength Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
Fit analysis
Who is it for?
✓ Best for
Teams building RAG apps who need seamless integration with PostgreSQL/pgvector and Knowledge Graphs
Developers looking for a framework-agnostic solution to integrate RAG capabilities into their applications
✕ Not a fit for
Projects requiring real-time streaming capabilities (batch-only architecture)
Budget-constrained projects where the cost of setting up and maintaining self-hosted infrastructure is prohibitive
Cost structure
Pricing
Free Tier
None
Starts at
See website
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Alternatives
Next step
Get Started with Regular-RAG
Step-by-step setup guide with code examples and common gotchas.