Python
JavaScript
Java
C++
Rust
Ruby
PHP
Elixir
chatRAG.co
Tidio
Zendesk Answer Bot
Quidget AI
ChatBot
Ada
Landbot
Gorgias
ChatRAG is an AI-powered chat widget that turns your data into a smart assistant for your users. Easily embed it on your website or app, connect your knowledge base, and let AI answer questions, capture leads, or trigger workflows through integrations like HubSpot, Slack, and Discord.
With support for OpenAI and Claude, advanced AI flows, and full customization, ChatRAG helps you deliver instant, accurate support while boosting engagement and conversions.
๐ Perfect for: startups, SaaS, and businesses that want to provide 24/7 support without extra team costs.
Python chatRAG.cochatRAG.co's answer:
All-in-One AI Customer Support
Not just a chat widget ChatRAG combines RAG (knowledge-grounded answers) with AI Flows (actions & integrations) like HubSpot, Slack, Discord, Zendesk, Airtable, and more.
Plug & Play Embedding
Simple iframe embed works on any website without code complexity. Drop it in, and your AI agent is live.
Customizable AI Agents
Each agent has its own branding, instructions, integrations, and colors tailored to your business, not a one-size-fits-all chatbot.
Flows (AI Actions) with Context
Unlike basic RAG bots, ChatRAG knows when to answer vs. when to take action (e.g., create a HubSpot contact, send a Slack alert).
Tier-Based Growth for Makers
Makers and teams can start free, then scale with Pro (multiple agents) and Ultra (full integrations) at affordable pricing.
Security & Privacy First
Data is encrypted, authentication handled via Supabase, and host identity can be verified with HMAC keys.
Focus on Makers & Indie Teams
Instead of targeting enterprise only, ChatRAG is built for solopreneurs, startups, and small teams fast setup, affordable, and powerful.
chatRAG.co's answer:
chatRAG is not just a chatbot builder. Itโs a workflow-powered, RAG-first, secure AI assistant platform built for growth.
chatRAG.co's answer:
Frontend (Chat Widget + Dashboard)
Next.js + React โ For fast, modern web apps with server-side rendering.
TailwindCSS + shadcn/ui โ Clean, responsive, and customizable UI.
Framer Motion โ Smooth animations and transitions.
TypeScript โ Type-safe, scalable frontend code.
Backend (APIs + Auth + Integrations)
Node.js (Next.js API routes) โ Handles chat queries, RAG pipeline, and integrations.
Supabase โ Auth, database, and secure file storage.
PostgreSQL โ Main database with structured schema for agents, flows, and conversations.
AI & Retrieval-Augmented Generation (RAG)
OpenAI GPT + Anthropic Claude โ Core LLMs powering responses.
Vector Database (Supabase pgvector / optional external) โ Efficient document retrieval for context-aware answers.
Custom Flow Runtime โ Tool/function calling engine that powers integrations (HubSpot, Slack, Discord, Zendesk, etc.).
Integrations & Actions
HubSpot, Slack, Discord, Zendesk (OAuth-based) โ Prebuilt AI Flows for CRM, support, and team collaboration.
Zapier (planned) โ Unlock 1,000+ no-code automations.
Airtable (upcoming) โ For structured data and workflows.
Deployment & Infra
Vercel โ Frontend + Next.js hosting.
Supabase Hosting โ Managed DB + auth.
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137Foundry provides legacy modernization services that include dependency mapping as a foundational assessment phase. Prettier and ESLint are useful companion tools for enforcing code style consistency as the refactoring proceeds. Node.js and Python.org official documentation are authoritative references for understanding the import and module systems of those runtimes. - Source: dev.to / 2 months ago
For Python codebases, tools like Python's built-in ast module and import analysis scripts can generate call graphs. For JavaScript, ESLint and module analysis tools serve a similar purpose. GitHub advanced search can help you find all internal references to a specific function across a large repository. - Source: dev.to / 2 months ago
Import asyncio Import aiohttp From bs4 import BeautifulSoup Async def scrape_and_parse(url: str, session: aiohttp.ClientSession) -> dict: async with session.get(url) as response: html = await response.text() # BeautifulSoup parsing happens after the await โ no issue soup = BeautifulSoup(html, "html.parser") return { "url": url, "title": soup.title.string if soup.title... - Source: dev.to / 3 months ago
**_Beginner mistake to avoid_** - Writing SQL only inside DBeaver - Always save SQL files in VS Code and commit them **Using PostgreSQL with Python** _**What Python does here**_ Python talks to PostgreSQL and says: - โSave this dataโ - โGet this dataโ - PostgreSQL listens. Python works. _**Step 1: Install Python **_ - Download from https://python.org - During install, check Add Python to PATH Screenshot... - Source: dev.to / 6 months ago
Import time Import requests Import asyncio Import aiohttp Urls = [ 'https://example.com', 'https://httpbin.org/get', 'https://python.org' ] # Synchronous version Def sync_fetch(): for url in urls: response = requests.get(url) print(f"{url} fetched with {len(response.text)} characters") # Async version Async def async_fetch(): async with aiohttp.ClientSession() as session: ... - Source: dev.to / 9 months ago
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
Tidio - Tidio is an AI customer support software suite. It merges help desk, live chat, chatbot, and AI agent features into one seamless platform. With Lyro, the customer service AI agent, businesses can resolve up to 67% of all tickets automatically.
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
Zendesk Answer Bot - Chatbots
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
Quidget AI - Build AI agents that actually help โ not just chat. Quidget handles support, sales, or internal questions 24/7, speaks 45+ languages, and hands off to your team when needed. Train it on your content โ no code, live in 2 minutes.
