# Chat Filters

Chat Filters are a lightweight, conversation‑scoped way to control how Lumi queries your database during an analysis. Filters apply only to the active conversation, giving you fine‑grained control without affecting other analyses or users.

## Benefits for using Chat Filters

* **Precisely scope analysis** without queries or prompts
* **Refine results in real time** as questions evolve
* **Move seamlessly from exploration to investigation** within a single conversation
* **Preserve analytical context** while adjusting constraints
* **Maintain transparency and trust** by verifying filters directly in the generated SQL

## How to Apply Chat Filters:

**Step 1:** Choose the knowledge base you want to extract insights from

<figure><img src="/files/dkj9KI7GmCH2HQd8EudQ" alt=""><figcaption></figcaption></figure>

**Step 2:** Toggle the "**Filter"** button to view and apply attributes derived from your knowledge base (semantic layer) to the active conversation.

<figure><img src="/files/xNC5Qjb1eReeJDN1GSfI" alt=""><figcaption></figcaption></figure>

**Step 3:** Select one or more fields from your knowledge base and assign specific values to use as filters. For example, you could apply a date filter to focus on records occurring after April 2025.

<figure><img src="/files/TUStQCPSAUFNjwTY0hT7" alt=""><figcaption></figcaption></figure>

<figure><img src="/files/7JbDljoguShN1X69w2ch" alt=""><figcaption></figcaption></figure>

**Step 4:** Visually, we can verify that our prompt generated insights starting May 2025.

<figure><img src="/files/4DgI7Ugn6VZEahNfQdrm" alt=""><figcaption></figcaption></figure>

\*\*For SQL-leaning stakeholders, Lumi makes the generated SQL visible so it can be reviewed and validated.

<figure><img src="/files/GX9plEo03rZ7lIPduJLz" alt=""><figcaption></figcaption></figure>


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.lumi-ai.com/product-features/chat/chat-filters.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.