Impact Score: 5/10
Meilisearch: v1.15.1 ๐ฆ
Source available โ automated, not human-reviewed
Component: meilisearch ยท Channel: stable. Automated analysis, not a compatibility certification. How this works.
Analysis updated: 2026-11-01.
โก Executive Summary (TL;DR)
Meilisearch v1.15.1. Source highlight: Meilisearch v1.15.1 adds new experimental conversational features and enables LLM-driven chat features.
Who Does This Impact? (Role-Based Analysis)
๐ป Software Engineers & Devs
Check the source notes against the package and APIs you use before upgrading.
๐ Product & Engineering Leads
Use the documented changes to assess relevance to your product; release frequency alone is not a quality measure.
โ๏ธ DevOps & Security
Verify the target version, runtime requirements and rollback procedure in the official documentation.
๐ View Raw Release Notes (Original Developer Log)
Meilisearch v1.15.1 adds new experimental conversational features and enables LLM-driven chat features.
๐งฐ All official Meilisearch integrations (including SDKs, clients, and other tools) are compatible with this Meilisearch release. Integration deployment takes 4 to 48 hours after a new version becomes available.
Some SDKs might not include all new features. Please look over the project repository for detailed information. Is a feature you need missing from your chosen SDK? Create an issue letting us know you need it, or, for open-source karma points, open a PR implementing it (we'll love you for that โค๏ธ).
## Chat with your indexes
After enabling the experimental chat feature, you can create a chat workspace with the appropriate settings.
We [have a guide](https://www.meilisearch.com/docs/guides/ai/getting_started_with_chat) on how to set up a good chat interface for your indexes.
```bash
curl -X POST 'http://localhost:7700/chats/my-assistant/settings' \
-H 'Content-Type: application/json' \
-d '{
"source": "openAi",
"apiKey": "sk-abc..."
}'
```
Then by using the official OpenAI SDK you'll be able to chat with your indexes.
```javascript
import OpenAI from 'openai';
const client = new OpenAI({
baseURL: 'http://localhost:7700/chats/my-assistant',
apiKey: 'YOUR_MEILISEARCH_CHAT_API_KEY',
});
const completion = await client.chat.completions.create({
model: 'gpt-3.5-turbo',
messages: [{ role: 'user', content: 'What is Meilisearch?' }],
stream: true,
});
for await (const chunk of completion) {
console.log(chunk.choices[0]?.delta?.content || '');
}
```
Done by @Kerollmops in [#5556](https://github.com/meilisearch/meilisearch/pull/5556).