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AI Chatbot — Ashot72

AI Chatbot — Ashot72 is a TypeScript and Next.js multi-user chatbot that crawls websites and uses LangChain and Pinecone to support responses grounded in their content. It uses MongoDB with Prisma for application data and Ably to handle conversation history and display.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

AI Chatbot — Ashot72 — OpenViST project profile in RAG & Knowledge Systems.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when you want to set up or adapt a website-content chatbot and are prepared to configure its local development environment and required keys.

Who it is for

  • Developers building a chatbot that answers questions about website content.
  • Teams exploring a documentation or support assistant based on crawled pages.
  • Builders who need a multi-user chat interface with username-associated conversation logs.

Documented uses

  • Crawl one or more websites, including targets on different domains.
  • Use indexed website content to support chatbot answers.
  • Retain conversation history as context for later responses.
  • Associate a conversation log with a username.
Before you choose

Requirements & limits

  • The documented setup is local development using npm and a .env file based on env.example.txt.
  • A username is required to start a chat and is associated with access to the conversation log.
  • The README says a real application should authenticate users and use unique usernames.
  • The repository documents an HTTP crawl endpoint with URL and page-limit parameters.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up the chatbot locally

Prepare the Next.js project for local development.

Before you start

  • Git
  • Node.js and npm
  • The required keys for the .env file, based on env.example.txt

Steps

  1. Clone the repository and change into the AI-Chatbot directory.

  2. Create a .env file based on env.example.txt and add the respective keys.

  3. Run npm install.

  4. Run npm run dev.

Expected outcome

The README's documented local development setup is prepared and the development server is started.

Guide limitations

  • The README does not specify the required environment keys or provide a verified deployment procedure.
Documentation 1 ↗
Source-based practical guide

Request a website crawl

Use the documented HTTP endpoint to request crawling of one or more URLs.

Before you start

  • The application running locally at localhost:3000

Steps

  1. Send a request to /api/crawl with a urls parameter containing the target URL or comma-separated URLs.

  2. Include a limit parameter, as shown in the README examples.

Expected outcome

The documented endpoint receives a crawl request for the specified site or sites.

Guide limitations

  • The README provides example request URLs but does not document the endpoint response or establish that a particular crawl completed successfully.
  • Pages already crawled are not crawled again, according to the README.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
18 October 2026
Original website title
Ashot72/AI-Chatbot · Official homepage title · retained in its source language
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