BeforeQuery vs Vertex AI Agent Builder
Vertex AI Agent Builder (formerly Vertex AI Search + Conversation) is Google Cloud's platform for building AI agents on top of Gemini. BeforeQuery is a packaged docs and support assistant — retrieval, connectors, evals, and surfaces are shipped, not built. Product vs platform.
Feature comparison
Information about Vertex AI Agent Builder is drawn from Google Cloud's public product pages.
Where BeforeQuery focuses differently
A product, not a platform to assemble
Vertex Agent Builder is a set of GCP-native building blocks — Data Stores, agents, evaluations, Dialogflow CX for chat. It's powerful if you're already deeply on Google Cloud and want to build a custom agent. BeforeQuery is the packaged docs assistant you deploy in an afternoon — the trade-off is flexibility for time-to-value.
Not locked to Gemini
Vertex uses Gemini. BeforeQuery routes chat to OpenAI, Anthropic, or Gemini; on Enterprise you bring your own provider credential. Model diversity matters when your users have preferences or your compliance team requires a specific vendor.
Broader connector story
Vertex Data Stores accept GCS, BigQuery, Firestore, and a limited connector set. BeforeQuery ships 18 first-class connectors including Notion, Confluence, SharePoint, GitHub, Zendesk, and every major helpdesk — the sources your knowledge actually lives in.
Shipped surfaces beyond the widget
Vertex + Dialogflow CX can build multi-channel bots — you build them. BeforeQuery ships native Slack, Discord, and Teams apps, an MCP endpoint, a browser extension, Support Ticket AI inside helpdesks, and a form deflector — all included on Pro.
Frequently asked questions
When is Vertex Agent Builder the right choice?
When you're deeply on Google Cloud, you need multi-agent orchestration beyond docs Q&A, and you have engineering to build it. For a straightforward 'answer questions from our docs on our site, in Slack/Teams/Discord, and inside our helpdesk' need, Vertex is overpowered and slower to ship.
Does BeforeQuery run on Google Cloud?
BeforeQuery is SaaS-hosted. Enterprise contracts can specify regional data residency (US/EU). On Enterprise you can bring your own Gemini API key so LLM inference bills to your Vertex account.
How does retrieval quality compare?
BeforeQuery layers full-text (BM25) and reciprocal rank fusion on top of vector search, rewrites the query with an LLM before search, and reranks with a cross-encoder. An abstention gate refuses low-confidence questions. LLM-as-judge evals score every answer.
How does pricing compare?
Vertex is GCP consumption — Data Store queries plus Gemini tokens plus any compute you run. BeforeQuery is flat monthly: Free / $99 Pro / Enterprise. For predictable-volume use cases, flat pricing is easier to forecast.
Can I use both?
Yes — use Vertex for custom agentic workflows deep inside GCP, use BeforeQuery for the docs-and-support assistant that runs on your public surfaces. The MCP endpoint means Vertex agents can query your BeforeQuery knowledge base as a tool.
See for yourself
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