Botsonic and Google Vertex AI integration
How to connect Botsonic and Google Vertex AI
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.
Build your own Botsonic and Google Vertex AI integration
Create custom Botsonic and Google Vertex AI 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.
Supported API Endpoints for Botsonic
Get All Faqs
Retrieve all frequently asked questions.
Create Single Faq
Create a new frequently asked question.
Delete Bot Faq
Remove a frequently asked question by ID.
Get All Faqs
Retrieves all FAQs.
Create Single Faq
Creates a new FAQ entry.
Delete Bot Faq
Deletes a specific FAQ using its ID.
Get All Bot Data
Fetch all bot data available.
Get All Conversations
Retrieve all conversations related to the bot.
Get Specific Conversation
Fetch details of a specific conversation by chat ID.
Delete Bot Data
Remove bot data entry by ID.
Bulk Upload Urls
Upload multiple URLs for bot data in bulk.
Get All Bot Data
Retrieves all bot data.
Delete Bot Data
Deletes specific bot data using its ID.
Create starter question
Create a new starter question for the bot.
Get All Starter Questions
Retrieve all starter questions available for the bot.
Create Starter Question
Create a new starter question for the bot.
Delete Starter Question
Remove a starter question by ID.
Update Starter Question
Update a starter question's details by ID.
Get All Starter Questions
Retrieves all starter questions.
Create Starter Question
Creates a new starter question.
Delete Starter Question
Deletes a specific starter question using its ID.
Get all starter questions
Retrieve all starter questions for the bot.
Get All Bots
Retrieve a list of all bots.
Get Specific Bot
Fetch details of a specific bot by ID.
Delete Bot
Remove a bot by ID.
Create Bot
Create a new bot instance.
Get All Bots
Retrieves all bots.
Get Specific Bot
Retrieves a specific bot using its ID.
Create Bot
Creates a new bot.
Delete bot
Delete a specific bot by ID.
Get all bot data
Retrieve all bot data in a paginated format.
Bulk Upload URLs
Upload multiple URLs for bot data in bulk.
Delete Bot Data
Delete specific bot data.
Get All Conversations
Retrieves all conversations.
Get Specific Conversation
Retrieves a specific conversation using its chat ID.
Get all conversations
Retrieve all conversations in a paginated format.
Get specific conversation
Get specific conversation by chat_id
Bulk Upload Urls
Uploads multiple URLs in bulk.
List FAQs
Get all FAQs for a bot in paginated format.
Create Single FAQ
Create a single FAQ for a bot.
Create Starter Question
Create a new starter question for a bot.
Update Starter Question
Update an existing starter question.
Get All Starter Questions
Retrieves all starter questions for the bot.
To set up Botsonic integration, add the HTTP Request node to your workflow canvas and authenticate it using a generic authentication method. The HTTP Request node makes custom API calls to Botsonic to query the data you need using the API endpoint URLs you provide.
These API endpoints were generated using n8n
n8n AI workflow transforms web scraping into an intelligent, AI-powered knowledge extraction system that uses vector embeddings to semantically analyze, chunk, store, and retrieve the most relevant API documentation from web pages. Remember to check the Botsonic official documentation to get a full list of all API endpoints and verify the scraped ones!
Supported API Endpoints for Google Vertex AI
Generate content
This endpoint generates content based on the input provided.
Call function
This endpoint allows for calling functions as part of the generative tasks.
Ground content
This endpoint grounds the content to ensure relevance and context.
List API errors
This endpoint retrieves potential API errors that can occur during requests.
Generate text embeddings
This endpoint generates embeddings for given text inputs.
Generate multimodal embeddings
This endpoint generates embeddings that leverage multiple modalities.
Generate and edit images
This endpoint is used for generating and editing images based on input specifications.
Use code completions
API for generating code completion suggestions.
Perform batch predictions
API for executing batch predictions on data.
Batch prediction
API for performing batch prediction.
Tune models
API for tuning machine learning models.
Tuning model parameters
API for tuning model parameters.
Rapid evaluation
API for quickly evaluating model performance.
Evaluate model performance
API for rapid evaluation of models.
Use LlamaIndex
API for accessing the LlamaIndex for retrieval-augmented generations.
Manage extensions
API for managing custom extensions.
Manage extensions
API for handling extensions.
Count tokens
API for counting tokens in text inputs.
Use reasoning engine
API for performing reasoning tasks.
Utilize reasoning engine
API for using the reasoning engine capabilities.
Use MedLM API
API for accessing medical language models.
Access MedLM
API for accessing MedLM functionality.
Generate and edit images
API for generating and editing images.
Access LlamaIndex
API for accessing LlamaIndex functionality.
Count tokens
API for counting tokens in text.
To set up Google Vertex AI integration, add the HTTP Request node to your workflow canvas and authenticate it using a generic authentication method. The HTTP Request node makes custom API calls to Google Vertex AI to query the data you need using the API endpoint URLs you provide.
These API endpoints were generated using n8n
n8n AI workflow transforms web scraping into an intelligent, AI-powered knowledge extraction system that uses vector embeddings to semantically analyze, chunk, store, and retrieve the most relevant API documentation from web pages. Remember to check the Google Vertex AI official documentation to get a full list of all API endpoints and verify the scraped ones!
Botsonic and Google Vertex AI integration details
Botsonic
Botsonic, powered by GPT-4 and developed by WriteSonic, is a no-code AI chatbot builder. It serves various purposes such as customer support and directing users to specific products or services, among other functionalities.
Related categories
Google Vertex AI
Google Vertex AI is a unified machine learning platform that enables developers to build, deploy, and manage models efficiently. It provides a wide range of tools and services, such as AutoML and datasets, to accelerate the deployment of AI solutions.
Related categories
FAQ
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