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Google Sheets and Vector Store Question Answer Tool integration

Save yourself the work of writing custom integrations for Google Sheets and Vector Store Question Answer Tool and use n8n instead. Build adaptable and scalable Data & Storage, Productivity, AI, and Langchain workflows that work with your technology stack. All within a building experience you will love.

How to connect Google Sheets and Vector Store Question Answer Tool

  • Step 1: Create a new workflow
  • Step 2: Add and configure nodes
  • Step 3: Connect
  • Step 4: Customize and extend your integration
  • Step 5: Test and activate your workflow

Step 1: Create a new workflow and add the first step

In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.

Google Sheets and Vector Store Question Answer Tool integration: Create a new workflow and add the first step

Step 2: Add and configure Google Sheets and Vector Store Question Answer Tool nodes

You can find Google Sheets and Vector Store Question Answer Tool in the nodes panel. Drag them onto your workflow canvas, selecting their actions. Click each node, choose a credential, and authenticate to grant n8n access. Configure Google Sheets and Vector Store Question Answer Tool nodes one by one: input data on the left, parameters in the middle, and output data on the right.

Google Sheets and Vector Store Question Answer Tool integration: Add and configure Google Sheets and Vector Store Question Answer Tool nodes

Step 3: Connect Google Sheets and Vector Store Question Answer Tool

A connection establishes a link between Google Sheets and Vector Store Question Answer Tool (or vice versa) to route data through the workflow. Data flows from the output of one node to the input of another. You can have single or multiple connections for each node.

Google Sheets and Vector Store Question Answer Tool integration: Connect Google Sheets and Vector Store Question Answer Tool

Step 4: Customize and extend your Google Sheets and Vector Store Question Answer Tool integration

Use n8n's core nodes such as If, Split Out, Merge, and others to transform and manipulate data. Write custom JavaScript or Python in the Code node and run it as a step in your workflow. Connect Google Sheets and Vector Store Question Answer Tool with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.

Google Sheets and Vector Store Question Answer Tool integration: Customize and extend your Google Sheets and Vector Store Question Answer Tool integration

Step 5: Test and activate your Google Sheets and Vector Store Question Answer Tool workflow

Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from Google Sheets to Vector Store Question Answer Tool or vice versa. Easily debug your workflow: you can check past executions to isolate and fix the mistake. Once you've tested everything, make sure to save your workflow and activate it.

Google Sheets and Vector Store Question Answer Tool integration: Test and activate your Google Sheets and Vector Store Question Answer Tool workflow

AI-Powered RAG Workflow For Stock Earnings Report Analysis

This n8n workflow creates a financial analysis tool that generates reports on a company's quarterly earnings using the capabilities of OpenAI GPT-4o-mini, Google's Gemini AI and Pinecone's vector search. By analyzing PDFs of any company's earnings reports from their Investor Relations page, this workflow can answer complex financial questions and automatically compile findings into a structured Google Doc.

How it works:
Data loading and indexing
Fetches links to PDF earnings document from a Google Sheet containing a list of file links.
Downloads the PDFs from Google Drive.
Parses the PDFs, splits the text into chunks, and generates embeddings using the Embeddings Google AI node (text-embedding-004 model).
Stores the embeddings and corresponding text chunks in a Pinecone vector database for semantic search.

Report generation with AI agent
Utilizes an AI Agent node with a specifically crafted system prompt. The agent orchestrates the entire process.
The agent uses a Vector Store Tool to access and retrieve information from the Pinecone database.
Report delivery
Saves the generated report as a Google Doc in a specified Google Drive location.

Set up steps
Google Cloud Project & Vertex AI API:
Create a Google Cloud project.
Enable the Vertex AI API for your project.
Google AI API key:
Obtain a Google AI API key from Google AI Studio.
Pinecone account and API key:
Create a free account on the Pinecone website.
Obtain your API key from your Pinecone dashboard.
Create an index named company-earnings in your Pinecone project.
Google Drive - download and save financial documents:
Go to a company you want to analize and download their quarterly earnings PDFs
Save the PDFs in Google Drive
Create a Google Sheet that stores a list of file URLs pointing to the PDFs you downloaded and saved to Google Drive
Configure credentials in your n8n environment for:
Google Sheets OAuth2
Google Drive OAuth2
Google Docs OAuth2
Google Gemini(PaLM) Api (using your Google AI API key)
Pinecone API (using your Pinecone API key)
Import and configure the workflow:
Import this workflow into your n8n instance.
Update the List Of Files To Load (Google Sheets) node to point to your Google Sheet.
Update the Download File From Google Drive to point to the column where the file URLs are
Update the Save Report to Google Docs node to point to your Google Doc where you want the report saved.

Nodes used in this workflow

Popular Google Sheets and Vector Store Question Answer Tool workflows

+11

Build an AI-Powered Tech Radar Advisor with SQL DB, RAG, and Routing Agents

AI-Powered Tech Radar Advisor This project is built on top of the famous open source ThoughtWorks Tech Radar. You can use this template to build your own AI-Powered Tech Radar Advisor for your company or group of companies. Target Audience This template is perfect for: Tech Audit & Governance Leaders:** Those seeking to build a tech landscape AI platform portal. Tech Leaders & Architects:** Those aiming to provide modern AI platforms that help others understand the rationale behind strategic technology adoption. Product Managers:** Professionals looking to align product innovation with the company's current tech trends. IT & Engineering Teams:** Teams that need to aggregate, analyze, and visualize technology data from multiple sources efficiently. Digital Transformation Experts:** Innovators aiming to leverage AI for actionable insights and strategic recommendations. Data Analysts & Scientists:** Individuals who want to combine structured SQL analysis with advanced semantic search using vector databases. Developers:** Those interested in integrating RAG chatbot functionality with conversation storage. Description Tech Constellation is an AI-powered Tech Radar solution designed to help organizations visualize and steer their technology adoption strategy. It seamlessly ingests data from a Tech Radar Google Sheet—converting it into both a MySQL database and a vector index—to consolidate your tech landscape in one place. The platform integrates an interactive AI chat interface powered by four specialized agents: AI Agent Router:** Analyzes and routes user queries to the most suitable processing agent. SQL Agent:** Executes precise SQL queries on structured data. RAG Agent:** Leverages semantic, vector-based search for in-depth insights. Output Guardrail Agent:** Validates responses to ensure they remain on-topic and accurate. This powerful template is perfect for technology leaders, product managers, engineering teams, and digital transformation experts looking to make data-driven decisions aligned with strategic initiatives across groups of parent-child companies. Features Data Ingestion A Google Sheet containing tech radar data is used as the primary source. The data is ingested and converted into a MySQL database. Simultaneously, the data is indexed into a vector database for semantic (vector-based) search. Interactive AI Chat Chat Integration:** An AI-powered chat interface allows users to ask questions about the tech radar. Customizable AI Agents:** AI Agent Router: Determines the query type and routes it to the appropriate agent. SQL Agent: Processes queries using SQL on structured data. RAG Agent: Performs vector-based searches on document-like data. Output Guardrail Agent: Validates queries and ensures that the responses remain on-topic and accurate. Usage Examples Tell me, is TechnologyABC adopted or on hold, and why? List all the tools that are considered part of the strategic direction for company3 but are not adopted. Project Links & Additional Details GitHub Repository (Frontend Interface Source Code):** github.com/dragonjump/techconstellation Try It:** https://scaler.my
+6

AI-Powered RAG Workflow For Stock Earnings Report Analysis

This n8n workflow creates a financial analysis tool that generates reports on a company's quarterly earnings using the capabilities of OpenAI GPT-4o-mini, Google's Gemini AI and Pinecone's vector search. By analyzing PDFs of any company's earnings reports from their Investor Relations page, this workflow can answer complex financial questions and automatically compile findings into a structured Google Doc. How it works: Data loading and indexing Fetches links to PDF earnings document from a Google Sheet containing a list of file links. Downloads the PDFs from Google Drive. Parses the PDFs, splits the text into chunks, and generates embeddings using the Embeddings Google AI node (text-embedding-004 model). Stores the embeddings and corresponding text chunks in a Pinecone vector database for semantic search. Report generation with AI agent Utilizes an AI Agent node with a specifically crafted system prompt. The agent orchestrates the entire process. The agent uses a Vector Store Tool to access and retrieve information from the Pinecone database. Report delivery Saves the generated report as a Google Doc in a specified Google Drive location. Set up steps Google Cloud Project & Vertex AI API: Create a Google Cloud project. Enable the Vertex AI API for your project. Google AI API key: Obtain a Google AI API key from Google AI Studio. Pinecone account and API key: Create a free account on the Pinecone website. Obtain your API key from your Pinecone dashboard. Create an index named company-earnings in your Pinecone project. Google Drive - download and save financial documents: Go to a company you want to analize and download their quarterly earnings PDFs Save the PDFs in Google Drive Create a Google Sheet that stores a list of file URLs pointing to the PDFs you downloaded and saved to Google Drive Configure credentials in your n8n environment for: Google Sheets OAuth2 Google Drive OAuth2 Google Docs OAuth2 Google Gemini(PaLM) Api (using your Google AI API key) Pinecone API (using your Pinecone API key) Import and configure the workflow: Import this workflow into your n8n instance. Update the List Of Files To Load (Google Sheets) node to point to your Google Sheet. Update the Download File From Google Drive to point to the column where the file URLs are Update the Save Report to Google Docs node to point to your Google Doc where you want the report saved.
+17

🐶 AI Agent for PetShop Appointments (Agente de IA para agendamentos de PetShop)

🐶🤖 AI Agent for Pet Shops – Automate Customer Service & Bookings! 🐾💡 Transform Your Pet Shop with AI-Powered Automation! 🚀 Enhance customer experience and optimize operations with this n8n AI Agent designed for pet shops. 📲🐾 Automate client interactions, appointment scheduling, and service recommendations—saving time and increasing revenue! 🔹 Key Features: ✅ Instant WhatsApp responses – AI-powered chatbot handles customer inquiries. 💬 ✅ Automated appointment scheduling – Clients can book services hassle-free. 📅✂️ ✅ Personalized reminders – Reduce no-shows with automated notifications. 📢🐾 ✅ Customer data & service history management – Track interactions effortlessly. 📊📁 ✅ Product & service recommendations – Improve sales with smart suggestions. 🎁🐶 📌 How It Works 1️⃣ The workflow captures customer inquiries via WhatsApp. 2️⃣ AI processes requests, provides information, and offers booking options. 3️⃣ Clients can schedule grooming, vet visits, or other services in seconds. 4️⃣ Automated reminders ensure appointments are remembered. 5️⃣ Customer data is stored for better service personalization. ⚙️ Setup & Customization 🔧 Connect your WhatsApp API (evolution) for instant messaging. 🔧 Integrate with Google Calendar for appointment booking. 🔧 Customize reminders, services, and pricing rules to fit your business. 💡 Reduce manual work, improve customer satisfaction, and scale your pet shop with AI automation! 🐶🤖 [PT-BR] Agente de IA para Pet Shops – Atendimento e Agendamentos Automatizados! 🐾💡 Transforme Seu Pet Shop com Automação Inteligente! 🚀 Otimize o atendimento ao cliente e agilize processos com este Agente de IA para n8n. 📲🐾 Automatize interações, agendamentos e recomendações de serviços—economizando tempo e aumentando as vendas! 🔹 Principais Funcionalidades: ✅ Atendimento automático no WhatsApp – IA responde clientes instantaneamente. 💬 ✅ Agendamento de serviços automatizado – Clientes marcam banho, tosa ou consultas facilmente. 📅✂️ ✅ Lembretes personalizados – Reduza faltas com notificações automáticas. 📢🐾 ✅ Gestão de clientes e histórico de serviços – Controle dados de forma eficiente. 📊📁 ✅ Sugestão de produtos e serviços – Venda mais com recomendações inteligentes. 🎁🐶 📌 Como Funciona 1️⃣ O fluxo recebe perguntas dos clientes via WhatsApp. 2️⃣ A IA processa os pedidos e fornece opções de agendamento. 3️⃣ O cliente escolhe o serviço desejado e agenda em segundos. 4️⃣ Lembretes automáticos garantem que os clientes não esqueçam os horários. 5️⃣ O histórico do cliente é salvo para oferecer um atendimento mais personalizado. ⚙️ Configuração e Personalização 🔧 Conecte sua API do WhatsApp (evolution) para interação automática. 🔧 Integre ao Google Calendar para gerenciar agendamentos. 🔧 Personalize valores, serviços e regras de envio de lembretes conforme sua necessidade. 💡 Automatize processos, melhore a experiência do cliente e escale seu pet shop com IA! 🚀

Build your own Google Sheets and Vector Store Question Answer Tool integration

Create custom Google Sheets and Vector Store Question Answer Tool workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.

Google Sheets supported actions

Create
Create a spreadsheet
Delete
Delete a spreadsheet
Append or Update Row
Append a new row or update an existing one (upsert)
Append Row
Create a new row in a sheet
Clear
Delete all the contents or a part of a sheet
Create
Create a new sheet
Delete
Permanently delete a sheet
Delete Rows or Columns
Delete columns or rows from a sheet
Get Row(s)
Retrieve one or more rows from a sheet
Update Row
Update an existing row in a sheet

FAQs

  • Can Google Sheets connect with Vector Store Question Answer Tool?

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  • Is n8n secure for integrating Google Sheets and Vector Store Question Answer Tool?

  • How to get started with Google Sheets and Vector Store Question Answer Tool integration in n8n.io?

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