LLM Orchestration

quick-rag

Production-ready RAG for JavaScript & React with Ollama and LM Studio SDKs

Status
Generally available
Last checked
Checked · Oct 10, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

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.

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.

When it fits — and when it doesn’t

A good fit 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

Look elsewhere if

  • Projects requiring real-time streaming capabilities (batch-only architecture)

  • Budget-constrained projects where the cost of setting up a self-hosted solution is prohibitive

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited integrations with other JavaScript libraries and frameworks

    Documentation lacks examples for popular JS libraries like Redux or Vue.js

  2. 02

    Performance issues under heavy load

    Caching mechanisms are not optimized for high-traffic applications, leading to slower response times

What it does well

  • Hybrid Search

  • Reranking and Query Transformation

  • Caching Mechanisms

  • Conversation Management

  • Evaluation Tools

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up quick-rag

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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