quick-rag
Production-ready RAG for JavaScript & React with Ollama and LM Studio SDKs
Pricing
Free tier
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is quick-rag?
Quick-RAG is a production-ready framework for Retrieval-Augmented Generation, built specifically for JavaScript and React applications. It leverages official Ollama and LM Studio SDKs to provide features like Hybrid Search, Reranking, Query Transformation, Caching, Conversation Management & Evaluation.
Key differentiator
“Quick-RAG stands out by offering a comprehensive set of features for RAG applications built on JavaScript and React, leveraging official SDKs from Ollama and LM Studio to ensure high performance and reliability.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Documentation lacks examples for popular JS libraries like Redux or Vue.js
Caching mechanisms are not optimized for high-traffic applications, leading to slower response times
Fit analysis
Who is it for?
✓ Best for
Teams building RAG applications in JavaScript/TypeScript environments who need robust caching and conversation management features
Developers looking to integrate AI-driven search functionalities into React-based projects with minimal setup overhead
✕ Not a fit for
Projects requiring real-time streaming capabilities (batch-only architecture)
Budget-constrained projects where the cost of setting up a self-hosted solution is prohibitive
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Integrations
Next step
Get Started with quick-rag
Step-by-step setup guide with code examples and common gotchas.