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![headnew](https://github.com/user-attachments/assets/a44fd1e7-1861-46d0-aff7-19cf33e86baa)
![new_header](https://github.com/user-attachments/assets/e236b764-0ddc-42ff-a1f1-8fbb3d2e0e65)
# SurfSense
While tools like NotebookLM and Perplexity are impressive and highly effective for conducting research on any topic, SurfSense elevates this capability by integrating with your personal knowledge base. It is a highly customizable AI research agent, connected to external sources such as search engines (Tavily), Slack, Notion, and more to come.
While tools like NotebookLM and Perplexity are impressive and highly effective for conducting research on any topic/query, SurfSense elevates this capability by integrating with your personal knowledge base. It is a highly customizable AI research agent, connected to external sources such as search engines (Tavily), Slack, Notion, YouTube, GitHub and more to come.
# Video
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- Slack
- Notion
- Youtube Videos
- GitHub
- and more to come.....
#### 🔖 Cross Browser Extension
@ -150,6 +152,20 @@ For local frontend setup just fill out the `.env` file of frontend.
You should see your Next.js frontend running at `localhost:3000`
#### Some FrontEnd Screens
**Search Spaces**
![search_spaces](https://github.com/user-attachments/assets/e254c38c-f937-44b6-9e9d-770db583d099)
**Research Agent**
![researcher](https://github.com/user-attachments/assets/fda3e61f-f936-4b66-b565-d84edde44a67)
**Agent Chat**
![chat](https://github.com/user-attachments/assets/bb352d52-1c6d-4020-926b-722d0b98b491)
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@ -198,7 +214,10 @@ After filling in your SurfSense API key you should be able to use extension now.
- **SQLAlchemy**: SQL toolkit and ORM (Object-Relational Mapping) for database interactions
- **Alembic**: A database migrations tool for SQLAlchemy.
- **FastAPI Users**: Authentication and user management with JWT and OAuth support
- **LangChain**: Framework for developing AI-powered applications
- **GPT Integration**: Integration with LLM models through LiteLLM
@ -214,9 +233,7 @@ After filling in your SurfSense API key you should be able to use extension now.
- **pgvector**: PostgreSQL extension for efficient vector similarity operations
- **Chonkie**: Advanced document chunking and embedding library
- Uses `AutoEmbeddings` for flexible embedding model selection
- `LateChunker` for optimized document chunking based on embedding model's max sequence length