Integration
Connect Google BigQuery to Vectara
When New Job Completed fires in Google BigQuery, your agent runs Add document in Vectara. Describe the whole flow and it is built, tested on every scenario and kept running.
What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.
Build solutions, not workarounds.
What do you want Google BigQuery and Vectara to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiOne connection does both: ask your client to act in an app once, or have it build an automation that keeps running. Any client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser.
Set it up in your client
Claude Code
Run this in the directory you want to work in.
claude mcp add --transport http -s project apiant-ai https://mcp.apiant.aiStart Claude Code there, approve the server, and sign in in the browser page it opens.
Claude Code guide (opens in a new tab)Claude, web and desktop
Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first.
Setup guide (opens in a new tab)Cursor
Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser.
Setup guide (opens in a new tab)Zed
Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.
Setup guide (opens in a new tab)Codex and the ChatGPT desktop app
Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in.
Setup guide (opens in a new tab)Any other MCP client
Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection.
Setup guide (opens in a new tab)Example flows
What Google BigQuery can start in Vectara
When New Job Completed in Google BigQuery
then Add document in Vectara
When New Row in Google BigQuery
then Find documents by criteria in Vectara
Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships.
Everything your agent can do with Google BigQuery and Vectara
Triggers and actions 4 triggers · 20 actions
Trigger
New Job CompletedTriggers when a BigQuery job in the project finishes, whether it succeeded or failed.
Trigger
New RowTriggers when a new row is added to a table. New rows are detected by a column you name that increases for newer rows, such as a creation time or a sequential ID.
Trigger
Query Job Completed (With Row Data)Triggers when a SELECT query job in the project finishes successfully, and includes its result rows.
Trigger
Updated RowTriggers when a row in a table is added or changed, detected by a last-updated timestamp column you name.
Action
Create RowCreates a new row of data in a table. Note: Does not create a job.
Action
Create RowsCreates new rows of data in a table (accepts line items). Note: Does not create a job.
Action
Delete RowsDeletes every row in a table whose match column equals the value you give.
Action
Find One RowFinds the first row in a table whose column equals the value you give.
Action
Get Rows for Job CompletedReturns the result rows of a finished query job.
Action
Import DataImports a JSON, CSV, Avro or Parquet file from Cloud Storage into a table. Waits up to about 40 seconds for the import to finish; larger imports keep running in BigQuery and return state RUNNING.
Action
List DatasetsReturns the datasets in a Google Cloud project.
Action
List TablesReturns the tables in a BigQuery dataset.
Action
Run a QueryRuns a SQL query against a table in BigQuery.
Action
Update Row(s)Updates every row in a table whose match column equals the value you give, setting the columns you choose.
Action
Add corpusCreates a corpus (container for documents).
Action
Add documentAdds a document to a Vectara corpus for indexing, either as a structured document (sections the platform chunks automatically) or a core document (explicit document parts).
Action
Delete corpusPermanently deletes a Vectara corpus and all of its documents and data. The corpus key is released and can be reused.
Action
Delete documentDeletes a document from a corpus.
Action
Find documents by criteriaReturns up to 100 documents in a corpus whose document metadata matches the specified filter expression.
Action
Get corpusRetrieves the settings and usage of a corpus by its key, without searching its contents.
Action
Get documentRetrieves a document from a Vectara corpus, including its text parts, metadata, tables and images.
Action
List corporaLists the corpora in the Vectara account, optionally filtered by name/summary or corpus ID.
Action
List documentsLists documents in a corpus.
Action
Query corpusQueries a corpus with full control over retrieval, hybrid search, reranking, and RAG generation.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
Reviews
What our customers say
More from Google BigQuery
Google BigQuery to HTML to ImageHTML to Image is a Powerful Image Generation API to convert HTML/CSS to Image and to take screenshots of...
Google BigQuery to PaperCleanClean document photos for printing, remove shadows, fix lighting
Google BigQuery to ResendResend is the email API for developers. It's designed for you to build, test, and send transactional and...
Google BigQuery to TypeSafeTypeSafe's Jev model answers typed questions about a piece of content and tells you how certain it is.
Google BigQuery to HubSpotHubSpot is your all-in-one stop for all of your marketing software needs.
Google BigQuery to SalesforceSalesforce is a leading enterprise customer relationship management (CRM) platform.
More into Vectara
HubSpot to VectaraHubSpot is your all-in-one stop for all of your marketing software needs.
Salesforce to VectaraSalesforce is a leading enterprise customer relationship management (CRM) platform.
Slack to VectaraSlack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...
Google Sheets to VectaraGoogle Sheets
Gmail to VectaraGmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...
Google Calendar to VectaraGoogle Calendar is a time management tool providing scheduling features, event reminders, and integration...
Questions
Google BigQuery and Vectara, answered
What can start an automation from Google BigQuery?
Any of Google BigQuery's 4 triggers in the catalog, including New Job Completed, New Row, Query Job Completed (With Row Data) and Updated Row. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Vectara when something happens in Google BigQuery?
Any of Vectara's 10 actions, including Add corpus, Add document, Find documents by criteria and Get corpus. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Vectara to Google BigQuery?
Vectara has no triggers in the catalog today, so automations start in Google BigQuery. If you need the other direction, ask: your agent reads Vectara's API documentation and adds it.
Do I have to build a connector for Google BigQuery or Vectara?
No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running.
Can my AI client use Google BigQuery and Vectara without building an automation?
Yes. With your AI client connected to APIANT, ask it to do something in either app once and it runs that action on the spot. Ask for an automation and your agent builds it, tests every scenario and keeps it running. One connection covers both.
What happens when something fails?
Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships.
Is there a free plan?
Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.