BeforeQuery vs Amazon Bedrock Agents
Bedrock Agents is AWS's platform for building AI agents on top of foundation models on Bedrock. BeforeQuery is a packaged docs and support assistant — retrieval, connectors, evals, and surfaces are shipped, not built. Product vs platform.
Feature comparison
Information about Amazon Bedrock Agents is drawn from AWS's public product pages.
Where BeforeQuery focuses differently
A product, not building blocks
Bedrock Agents is powerful if you're on AWS, want tight IAM control over agent actions, and have engineering to assemble the pieces (knowledge base + action groups + API surface + UI). BeforeQuery is the packaged docs assistant you deploy in an afternoon. Choose based on how much of your team's time you want to spend building the platform.
Broader connector story
Bedrock KBs accept a growing set of connectors (S3, Web Crawler, Confluence, SharePoint, Salesforce). BeforeQuery ships 18 first-class connectors including Notion, GitHub, Google Drive, Slack, Discourse, YouTube, and every major helpdesk — the sources your knowledge actually lives in today.
Shipped surfaces vs. build-your-own
Bedrock Agents is an API — you build the UI, the Slack bot, the widget, the browser extension. BeforeQuery ships all of those out of the box. That's the fastest path from 'we want AI on our docs' to 'AI answering questions on our docs'.
Complementary, not competing (BYOK is the bridge)
On Enterprise, BYOK lets you route BeforeQuery's LLM calls through your Bedrock account — so you keep the model choice, the volume terms, and the DPA you already have with AWS, while BeforeQuery handles the platform. Best-of-both when you want AWS-native model spend without AWS-native platform engineering.
Frequently asked questions
When is Bedrock Agents the right choice?
When you're deeply on AWS, you need tight IAM-scoped agent actions, and you have the engineering capacity to assemble the pieces. For a straightforward 'answer questions from our docs on our site, in Slack/Teams/Discord, and inside our helpdesk' need, Bedrock is over-powered and slower to ship.
Can BeforeQuery use Bedrock models?
On Enterprise via BYOK — provide Bedrock (or Anthropic-on-Bedrock) credentials and LLM inference runs on your AWS account under your existing terms. Non-BYOK plans use the deployment provider.
How does retrieval quality compare?
Both offer hybrid retrieval. BeforeQuery adds an LLM query-rewrite step before search and a cross-encoder reranker configurable per workspace (Cohere / Voyage / Jina) plus an enforced abstention gate. The measurable difference tends to show up on exact-match queries and niche vocabulary.
How does pricing compare?
Bedrock is AWS consumption — model tokens, KB queries, Lambda, storage. BeforeQuery is flat monthly (Free / $99 Pro / Enterprise). For predictable-volume use cases, flat pricing is easier to forecast; for very-low or very-high volumes, consumption may be cheaper.
Can I use both?
Yes — use Bedrock Agents for AWS-native operational workflows (with IAM-scoped actions on your infra), use BeforeQuery for the docs-and-support assistant that runs on public surfaces. The MCP endpoint means Bedrock agents can query your BeforeQuery knowledge base as a tool.
See for yourself
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