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Deshraj Yadav
2025-09-30 08:41:36 -07:00
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docs/examples/personalized-search-tavily-mem0.mdx
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<Snippet file="security-compliance.mdx" />
Imagine asking a search assistant for "coffee shops nearby" and instead of generic results, it shows remote-work-friendly cafes with great wifi in your city because it remembers you mentioned working remotely before. Or when you search for "lunchbox ideas for kids" it knows you have a **7-year-old daughter** and recommends **peanut-free options** that align with her allergy.
Imagine asking a search assistant for "coffee shops nearby" and instead of generic results, it shows remote-work-friendly cafes with great WiFi in your city because it remembers you mentioned working remotely before. Or when you search for "lunchbox ideas for kids" it knows you have a 7-year-old daughter and recommends peanut-free options that align with her allergy.
That's what we are going to build today, a **Personalized Search Assistant** powered by **Mem0** for memory and [Tavily](https://tavily.com) for real-time search.
That's what we are going to build today, a Personalized Search Assistant powered by Mem0 for memory and [Tavily](https://tavily.com) for real-time search.
## Why Personalized Search
Most assistants treat every query like they’ve never seen you before. That means repeating yourself about your location, diet, or preferences, and getting results that feel generic.
Most assistants treat every query like they've never seen you before. That means repeating yourself about your location, diet, or preferences, and getting results that feel generic.
- With **Mem0**, your assistant builds a memory of the user’s world.
- With **Tavily**, it fetches fresh and accurate results in real time.
- With Mem0, your assistant builds a memory of the user's world.
- With Tavily, it fetches fresh and accurate results in real time.
Together, they make every interaction **smarter, faster, and more personal**.
Together, they make every interaction smarter, faster, and more personal.
## Prerequisites
@@ -55,7 +55,7 @@ and extract facts and memories accordingly.
'''
)
```
Now, if a user casually mentions "I need to pick up my daughter", or "What's the weather at Los Angeles", Mem0 remembers they have a daughter or user is somewhat interested/connected with Los Angeles in terms of location, those will be referred for future searches.
Now, if a user casually mentions "I need to pick up my daughter" or "What's the weather at Los Angeles", Mem0 remembers they have a daughter or the user is interested in or connected with Los Angeles in terms of location. These details will be referenced for future searches.
### 2. Simulating User History
To test personalization, we preload some sample conversation history for a user:
@@ -173,17 +173,19 @@ if __name__ == "__main__":
```
## How It Works in Practice
Here’s how personalization plays out:
- Context Gathering: User previously mentioned living in Los Angeles, being vegan, and having a 7-year-old daughter allergic to peanuts.
- Enhanced Search Query:
Query -> "good coffee shops nearby for working"
Enhanced Query -> "good coffee shops in Los Angeles with strong wifi, remote-work-friendly"
- Personalized Results: The assistant only returns wifi-friendly, work-friendly cafes near Los Angeles.
- Memory Update: Interaction is saved for better future recommendations.
Here's how personalization plays out:
- **Context Gathering**: User previously mentioned living in Los Angeles, being vegan, and having a 7-year-old daughter allergic to peanuts.
- **Enhanced Search Query**:
- Query: "good coffee shops nearby for working"
- Enhanced Query: "good coffee shops in Los Angeles with strong WiFi, remote-work-friendly"
- **Personalized Results**: The assistant only returns WiFi-friendly, work-friendly cafes near Los Angeles.
- **Memory Update**: Interaction is saved for better future recommendations.
## Conclusion
With Mem0 + Tavily, you can build a search assistant that doesn’t just fetch results but it understands the person behind the query.
With Mem0 and Tavily, you can build a search assistant that doesn't just fetch results but understands the person behind the query.
Whether for shopping, travel, or daily life, this approach turns a generic search into a truly personalized experience.