## Hindsight Sets a New Standard: #1 on the BEAM Benchmark

**Ship intelligent chat experiences in minutes, not months.**

This week, we’ve launched the **Vectorize Chat Widget** — the fastest way to embed an AI assistant directly into your website or product. No glue code. No knowledge base duplication. Just copy/paste one snippet, and your assistant is live.

Your users get smart, contextual answers — powered by the same RAG pipelines you already use.

## The Problem: Great AI, Poor Distribution

You’ve got an AI assistant that actually works. It’s fast, accurate, and tuned to your data.

Now comes the hard part: getting it in front of your users.

Most deployment paths involve:

- Building a custom chat UI
- Managing authentication and CORS
- Creating a streaming backend
- Handling error states and retries
- Syncing content into a second system

All that, just to answer a question on your docs page or website.

## The Solution: Vectorize Chat Widget

The **Vectorize Chat Widget** makes it effortless to deploy your assistant anywhere your users are — docs, dashboards, apps, or marketing sites.

It’s a fully managed, embeddable assistant that talks directly to your existing pipelines — with no duplicated data and no extra infra. It’s:

- **Smarter than an iframe**
- **Lighter than an SDK**
- **Live in under 5 minutes**

Drop in the snippet and go! 🚀

No knowledge base to maintain. No data to sync. Your widget uses your existing RAG pipelines as its brain — update your pipeline, and your widget instantly knows.

## Powered by Groq — Example Setup

To show how fast this is, let’s create a new **Chat Widget** powered by a **Groq-hosted language model**:

We selected **[GPT OSS 120B](https://console.groq.com/docs/model/openai/gpt-oss-120b)** on Groq’s platform — blazing-fast inference, great for support scenarios — and gave it this system prompt:

> _“You are a helpful assistant embedded on [https://docs.vectorize.io](https://docs.vectorize.io/). Answer questions about our product and documentation.”_

Just like that, our agent was ready to answer user questions — live on our docs site, using our actual RAG pipeline, in seconds.

And with Groq’s **500+ tokens per second inference**, responses start flowing right away.

## Where It Fits

The Chat Widget isn’t just another chat bubble. It’s where your users already are:

- On **docs pages**, it replaces static search with contextual answers.
- Inside **SaaS dashboards**, it helps users without breaking their flow.
- On **marketing sites**, it answers product questions and routes hot leads instantly.
- During **onboarding**, it guides new users with conversational walkthroughs.

Wherever you put it, the widget turns static content into interactive help.

## 3 Quick Steps to Production

Here’s what setup looks like:

**Create a widget. Connect your pipeline. Paste the snippet. Done.**

It’s not a project — it’s a copy-paste.

## Admin Panel = Full Control

Every widget is fully configurable in the Vectorize Admin Panel. From prompts and branding to security and monitoring, you stay in control. Update anything instantly — no redeploy required.

## Try It Today

We’ve published a step-by-step guide that covers everything: 👉 [Create a Chat Widget](https://docs.vectorize.io/build-deploy/agents/chat/chat-widget-setup)

Want the bigger picture for Launch Week? In this short video, our CEO shares the vision for Chat Agents — and highlights how they connect through Remote MCP. ▶️ [Watch the video on LinkedIn.](https://www.linkedin.com/posts/vectorizeio_new-for-launch-week-chat-agents-in-activity-7368798955209461760-SIPl?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAAGsQMB5yWUMEhE2U1WXioFSJ3CXQIU8DY)

_💡 New users: Try it free for 7 days — and get 50% off your first month with code **CHATTRIAL7**_