SurfSense/README.md

![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/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, LinkUp), Slack, Linear, Notion, YouTube, GitHub and more to come.

<div align="center">
<a href="https://trendshift.io/repositories/13606" target="_blank"><img src="https://trendshift.io/api/badge/repositories/13606" alt="MODSetter%2FSurfSense | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
</div>


# Video

https://github.com/user-attachments/assets/48142909-6391-4084-b7e8-81da388bb1fc

# Podcast's

https://github.com/user-attachments/assets/d516982f-de00-4c41-9e4c-632a7d942f41

## Podcast Sample

https://github.com/user-attachments/assets/bf64a6ca-934b-47ac-9e1b-edac5fe972ec



## Key Features
### 1. Latest

#### 💡 **Idea**: 
Have your own highly customizable private NotebookLM and Perplexity integrated with external sources.
#### 📁 **Multiple File Format Uploading Support**
Save content from your own personal files *(Documents, images and supports **27 file extensions**)* to your own personal knowledge base .
#### 🔍 **Powerful Search**
Quickly research or find anything in your saved content .
#### 💬 **Chat with your Saved Content**
 Interact in Natural Language and get cited answers.
#### 📄 **Cited Answers**
Get Cited answers just like Perplexity.
#### 🔔 **Privacy & Local LLM Support**
Works Flawlessly with Ollama local LLMs.
#### 🏠 **Self Hostable**
Open source and easy to deploy locally.
#### 🎙️ Podcasts 
- Blazingly fast podcast generation agent. (Creates a 3-minute podcast in under 20 seconds.)
- Convert your chat conversations into engaging audio content
- Support for multiple TTS providers (OpenAI, Azure, Google Vertex AI)

#### 📊 **Advanced RAG Techniques**
- Supports 150+ LLM's
- Supports 6000+ Embedding Models.
- Supports all major Rerankers (Pinecode, Cohere, Flashrank etc)
- Uses Hierarchical Indices (2 tiered RAG setup).
- Utilizes Hybrid Search (Semantic + Full Text Search combined with Reciprocal Rank Fusion).
- RAG as a Service API Backend.

#### ℹ️ **External Sources**
- Search Engines (Tavily, LinkUp)
- Slack
- Linear
- Notion
- Youtube Videos
- GitHub
- and more to come.....

#### 🔖 Cross Browser Extension
- The SurfSense extension can be used to save any webpage you like.
- Its main usecase is to save any webpages protected beyond authentication.


## FEATURE REQUESTS AND FUTURE


**SurfSense is actively being developed.** While it's not yet production-ready, you can help us speed up the process.

Join the [SurfSense Discord](https://discord.gg/ejRNvftDp9) and help shape the future of SurfSense!



## How to get started?

### Installation Options

SurfSense provides two installation methods:

1. **[Docker Installation](https://www.surfsense.net/docs/docker-installation)** - The easiest way to get SurfSense up and running with all dependencies containerized.
   - Includes pgAdmin for database management through a web UI
   - Supports environment variable customization via `.env` file
   - See [Docker Setup Guide](DOCKER_SETUP.md) for detailed instructions

2. **[Manual Installation (Recommended)](https://www.surfsense.net/docs/manual-installation)** - For users who prefer more control over their setup or need to customize their deployment.

Both installation guides include detailed OS-specific instructions for Windows, macOS, and Linux.

Before installation, make sure to complete the [prerequisite setup steps](https://www.surfsense.net/docs/) including:
- PGVector setup
- Google OAuth configuration
- Unstructured.io API key
- Other required API keys

## Screenshots

**Search Spaces** 

![search_spaces](https://github.com/user-attachments/assets/e254c38c-f937-44b6-9e9d-770db583d099)

**Manage Documents** 
![documents](https://github.com/user-attachments/assets/7001e306-eb06-4009-89c6-8fadfdc3fc4d)

**Research Agent** 

![researcher](https://github.com/user-attachments/assets/fda3e61f-f936-4b66-b565-d84edde44a67)

**Podcast Agent** 
![podcasts](https://github.com/user-attachments/assets/6cb82ffd-9e14-4172-bc79-67faf34c4c1c)


**Agent Chat** 

![chat](https://github.com/user-attachments/assets/bb352d52-1c6d-4020-926b-722d0b98b491)

**Browser Extension**

![ext1](https://github.com/user-attachments/assets/1f042b7a-6349-422b-94fb-d40d0df16c40)

![ext2](https://github.com/user-attachments/assets/a9b9f1aa-2677-404d-b0a0-c1b2dddf24a7)


## Tech Stack


 ### **BackEnd** 

-  **FastAPI**: Modern, fast web framework for building APIs with Python
  
-  **PostgreSQL with pgvector**: Database with vector search capabilities for similarity searches

-  **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

-  **LangGraph**: Framework for developing AI-agents.
  
-  **LangChain**: Framework for developing AI-powered applications.

-  **LLM Integration**: Integration with LLM models through LiteLLM

-  **Rerankers**: Advanced result ranking for improved search relevance

-  **Hybrid Search**: Combines vector similarity and full-text search for optimal results using Reciprocal Rank Fusion (RRF)

-  **Vector Embeddings**: Document and text embeddings for semantic search

-  **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


  
---
 ### **FrontEnd**

-  **Next.js 15.2.3**: React framework featuring App Router, server components, automatic code-splitting, and optimized rendering.

-  **React 19.0.0**: JavaScript library for building user interfaces.

-  **TypeScript**: Static type-checking for JavaScript, enhancing code quality and developer experience.
- **Vercel AI SDK Kit UI Stream Protocol**: To create scalable chat UI.

-  **Tailwind CSS 4.x**: Utility-first CSS framework for building custom UI designs.

-  **Shadcn**: Headless components library.

-  **Lucide React**: Icon set implemented as React components.

-  **Framer Motion**: Animation library for React.

-  **Sonner**: Toast notification library.

-  **Geist**: Font family from Vercel.

-  **React Hook Form**: Form state management and validation.

-  **Zod**: TypeScript-first schema validation with static type inference.

-  **@hookform/resolvers**: Resolvers for using validation libraries with React Hook Form.

-  **@tanstack/react-table**: Headless UI for building powerful tables & datagrids.


 ### **DevOps**

-  **Docker**: Container platform for consistent deployment across environments
  
-  **Docker Compose**: Tool for defining and running multi-container Docker applications

-  **pgAdmin**: Web-based PostgreSQL administration tool included in Docker setup


### **Extension** 
 Manifest v3 on Plasmo

## Future Work
- Add More Connectors.
- Patch minor bugs.
- Implement Canvas. 
- Complete Hybrid Search. **[Done]**
- Add support for file uploads QA. **[Done]**
- Shift to WebSockets for Streaming responses. **[Deprecated in favor of AI SDK Stream Protocol]**
- Based on feedback, I will work on making it compatible with local models. **[Done]**
- Cross Browser Extension **[Done]**
- Critical Notifications **[Done | PAUSED]**
- Saving Chats **[Done]**
- Basic keyword search page for saved sessions **[Done]**
- Multi & Single Document Chat **[Done]**



## Contribute 

Contributions are very welcome! A contribution can be as small as a ⭐ or even finding and creating issues.
Fine-tuning the Backend is always desired.

## Star History

<a href="https://www.star-history.com/#MODSetter/SurfSense&Date">
 <picture>
   <source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=MODSetter/SurfSense&type=Date&theme=dark" />
   <source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=MODSetter/SurfSense&type=Date" />
   <img alt="Star History Chart" src="https://api.star-history.com/svg?repos=MODSetter/SurfSense&type=Date" />
 </picture>
</a>