Develop AI Agents, Apps & Automations [No-code x ChatGPT]

Explore pipelines and the marketplace in vector shift ai, learning to create pipelines from scratch or use templates for productivity, sales, and marketing.

Explore the storage tab to load data from URLs or files into a knowledge base, upload documents, and enable recursive URL indexing with integrations like Google Drive and Notion.

Learn how automations trigger pipelines on events like new emails to reply to customers with AI-based email responses. Explore cron jobs and integrations with Gmail and Google Calendar.

Learn to build a chatbot by binding a pipeline, deploy it on a website or WhatsApp, export the embed code or URL, and track analytics across channels.

Create evaluations to monitor and verify pipeline performance, comparing Typeform email integration and envy site website assistant to identify the fastest, most accurate pipeline.

Create a no-code pipeline from scratch by adding an input node, guiding OpenAI to return a concise bullet-point answer limited to 200 words, and routing the response to display output.

Explore the general nodes category, including input and output types, text or file inputs, text and image outputs, and how to concatenate, merge, and reuse pipelines to simplify workflows.

Explore diverse llm nodes, configure prompts and system settings, grasp token-based pricing, and compare OpenAI, Anthropic, Llama, Cohere, AWS, Google, and Azure models for your automations.

Learn to build a knowledge base with a search node and a knowledge base node linked to storage, enabling semantic search and faster, token-efficient OpenAI responses.

Explore integration nodes to automate workflows across Gmail, Slack, Discord, Google Sheets, Google Drive, HubSpot, Airtable, and Notion, including writing outputs to sheets, drafting emails, and creating or updating records.

Explore data loaders for AI apps, including API calls with keys, CSV query loader, URL, Wikipedia, and YouTube loaders, to feed data into the OpenAI model and LMS.

Explore multimodal nodes for image generation with DALL-E 2/3, speech-to-text for meeting audio, and image-to-text analysis, plus Gemini vision, to process multimedia in no-code ai agents and chat workflows.

Combine logic with chat nodes to route responses using condition, merge, split text, and timer nodes, plus chat memory and data collector for multilingual, appointment workflows.

See how ai-based chatbots convert website visitors into customers, deliver specialized information, enhance the customer experience, provide personalized recommendations, and reduce costs to boost ecommerce sales.

Explore the high-level system flow, detailing input and output nodes, the knowledge base from the store, and an OpenAI LM that delivers AI-enhanced results.

Set up a no-code AI pipeline for an electronics and IoT e-commerce store, building a knowledge base with recursive URLs to power a context-aware chatbot via OpenAI.

Run and validate the pipeline by querying LoRaWAN equipment, inspect sources and formatted data, and showcase Nvidia Jetson Nano hardware, illustrating AI-based chatbot deployment for e-commerce.

Deploy and customize an AI chatbot for your e-commerce store without code, export ready-to-embed code, and embed via iframe on Wix, Squarespace, Webflow, or WordPress.

Learn why AI based chat systems on business, real estate, and consultancy websites deliver efficient support, scalable inquiries, personalization, data insights, and cost effectiveness with competitive advantage.

Explore the ai pipeline flow where a website chatbot passes input to fetch data from various sources and integrate notion, google drive, and pdfs to expand the knowledge base.

Learn to set up a knowledge base by aggregating data from a website, Notion pages, and a resume PDF, then integrate Google Drive and Notion and enable content refresh.

Set up a personalized ai chatbot pipeline for a personal website, linking the input node, user questions, the personal website knowledge base, and an OpenAI model, then save.

Test and refine the ai pipeline by running queries, increasing chunk size, and using GPT four turbo to fetch IoT sample projects, publications, and work experience before deploying the chatbot.

Deploy the Muhammad Afzal chatbot for your website by saving, copying the embed code, and embedding the script into WordPress via the header and footer plugin.

Connect WhatsApp with the Vector Shifter AI chatbot by configuring a Twilio webhook and exporting the chatbot. Generate public-private keys and test messaging, then prepare the webhook setup.

Configure webhook sandbox and generate public and private keys from vector shift, then save Twilio keys. Connect Twilio by entering account sid and authentication token to test WhatsApp messaging.

Learn how to test a WhatsApp message using the Twilio integration, understand the sandbox limitations, and apply for a WhatsApp business profile via the Twilio request form.

Learn why an AI email support system is essential and how vector shift AI drives a knowledge-base–driven pipeline that automates messages, drafts replies, and saves them as drafts for review.

Set up a no-code email support pipeline with three input nodes, including email body, and Gmail integration to draft replies, using knowledge base 97 for an IoT electronics e-commerce store.

deploy an email assistant pipeline in production by connecting a Gmail account, selecting the new email trigger for inbox, and mapping email body, sender, and email ID to automation inputs.

Test and deploy the email automation and verify its deployment status. See how the AI drafts response to a stock inquiry, covering availability, location, and payment options.

Set up a VectorShift AI assistant for blog post content generation to boost easy content creation, optimized language, and time and cost saving.

Set up the pipeline using a blog article generator template, define overview, audience, topic, and tone, and guide the open ai lm to generate a tailored blog style and content.

Test a pipeline by inputting topic, audience, tone, and sample text to generate WordPress speed optimization article; learn why speed matters for user experience and seo and how to optimize.

Set up an ai system to automate YouTube content, generating a title, description, keywords, and tags from a short video summary using vector shift ai and the OpenAI LM node.

Set up a scratch pipeline by configuring input node named YouTube video summary. Write a system description for PHP docs and choose gpt turbo to generate title, description, hashtags, keywords.

Test a deployment pipeline while learning to set up and optimize a WordPress site on AWS for ecommerce using LightSail, Route 53, and CloudFront.

Learn to set up a lead generation pipeline with the data collector node in Vector Shift AI to capture visitor contact details during chat (name, email, country) for later use.

Set up a basic data collector pipeline with input and output nodes to capture user name, email, and country, and view the json output.

Set up a lead generation pipeline by deploying a lead collection chatbot template, connecting the input node to a knowledge base and data collector, and enabling chat memory with OpenAI.

Test and deploy a lead-generation chatbot within a no-code AI agents platform, verify pipeline and knowledge base settings, and view or export collected data as CSV.