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Pash10g merged 2 commits into from
Jan 8, 2026
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Voice memory wip #180

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10 changes: 5 additions & 5 deletions apps/voice-memory-demo/README.md
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Expand Up @@ -2,7 +2,7 @@

A Next.js demo showcasing persistent memory for voice AI agents using **Gemini Live** and **MongoDB**.

Based on the article: [Building Persistent Memory for Voice AI Agents with MongoDB](../article.md)
Based on the article: [Building Persistent Memory for Voice AI Agents with MongoDB](https://dev.to/mongodb/building-persistent-memory-for-voice-ai-agents-with-mongodb-1obe)

## Features

Expand Down Expand Up @@ -51,7 +51,7 @@ Edit `.env.local` with your credentials:
GOOGLE_API_KEY=your_gemini_api_key
MONGODB_URI=mongodb+srv://...
MONGODB_DB=voice_memory_demo
VOYAGE_AI_API_KEY=your_voyage_ai_key # Optional, for semantic search
VOYAGE_AI_API_KEY=your_voyage_ai_key
```

### 3. Run the Development Server
Expand All @@ -64,13 +64,13 @@ Open [http://localhost:3000](http://localhost:3000) in your browser.

### 4. Create MongoDB Indexes

For hybrid search (vector + text) with `$rankFusion`, you need to create two Atlas Search indexes on the `memories` collection:
For hybrid search (vector + text) with `$rankFusion` (require latest Atlas version cluster), the code creates on startup two Atlas Search indexes on the `memories` collection:

#### Vector Search Index

**Index Name:** `memory_vector_index`

In Atlas UI: **Search Indexes** → **Create Search Index** → **Atlas Vector Search**
Optional: In Atlas UI: **Search Indexes** → **Create Search Index** → **Atlas Vector Search**

```json
{
Expand Down Expand Up @@ -101,7 +101,7 @@ In Atlas UI: **Search Indexes** → **Create Search Index** → **Atlas Vector S

**Index Name:** `memory_text_index`

In Atlas UI: **Search Indexes** → **Create Search Index** → **Atlas Search**
Optional: In Atlas UI: **Search Indexes** → **Create Search Index** → **Atlas Search**

```json
{
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