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Visual AI workflows with blocks.

Run content automation & chatbots—no code.

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Build faster, no‑code

AI Chatbot Builder

Connect docs/DB, link blocks

Build automation & chatbots

Codefree's Core Technology

RAG search + multi‑channel, one interface. Build in clicks—no code.

RAG Knowledge Linking

Connect docs/DB for accurate, grounded answers.

Visual Flow Design

Connect blocks—build automation & agents. No code.

Multi-channel Delivery

Ship to web, Slack, email— instantly.

Templates and Reuse

Save as templates and share.

Block-connection canvas

Connect blocks to build automation & agents. From content to chatbots—easy

step1
STEP 1

Drag blocks onto the canvas

Pick: search, prompt, classify, summarize, respond, publish.

Add GPT, RAG, image models with a click.

step2
STEP 2

Connect blocks to make a flow

Visually connect input → process → output.

Combine RAG and chat in one flow.

step3
STEP 3

Run and deploy instantly

Test and save—ready.

Deploy to web, Slack, email; auto‑publish.

Codefree can be used in various fields

Explore the Codefree Blog

CodeFree's Vision: A Two-Track Strategy for Enterprise AI and Content Generation

Codefree

CodeFree's Vision: A Two-Track Strategy for Enterprise AI and Content Generation

Through RAG and no-code technology, CodeFree pursues two simultaneous goals: building custom AI agents for businesses and automating content creation for creators.

Upgrading LLMs: Fine-Tuning vs RAG

AI information

Upgrading LLMs: Fine-Tuning vs RAG

Compare fine-tuning and RAG by purpose, cost, speed, maintenance, and security, with guidance on when to use each.

How LLMs Work: Tokens, Probabilities, and Prompts

AI information

How LLMs Work: Tokens, Probabilities, and Prompts

A simple explanation of tokenization, probability distributions, pretraining, and inference—how LLMs generate sentences.

What is RAG? The Retrieval-Augmented Generation Technology Changing AI's Future

AI information

What is RAG? The Retrieval-Augmented Generation Technology Changing AI's Future

Discover how Retrieval-Augmented Generation (RAG) overcomes the limitations of LLMs to generate more accurate and reliable answers.

Curious about Codefree?

FAQ

Yes. Drag‑drop blocks, connect lines. RAG, prompts, summarize, publish—no code.

RAG pulls from your docs/DB and adds to the prompt. Fewer hallucinations; uses your latest sources.

Web widgets, Slack, email, webhooks/API. On web, embed with one snippet.

Encrypted in transit/at rest. Delete connected data; keys stored securely. Team permissions control workflow/data access.

Have more questions?

Learn more about Codefree with a consultation.

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