28.5K stars! Your full-stack AI brain is here! Supports private deployment, document Q&A/automatic research/multi-terminal access, all done!
Master the full-stack AI brain to make information management simple and efficient.
Core content:
1. Khoj AI brain: supports local and cloud deployment, connecting multiple large language models
2. Solve document retrieval, repetitive research and data management problems in the era of information explosion
3. Six core functions: all-round document manager, intelligent research assistant, full platform access matrix, etc.
"Khoj is an open source AI second brain solution that supports local or cloud deployment. It can connect to any large language model (such as GPT, Claude, Llama, etc.), realize document intelligent question answering, automated research, cross-platform access and other functions, and can be called an all-round AI assistant for individuals and enterprises!"
Why do you need this AI brain?
In the era of information explosion, we face:
Massive documents are difficult to retrieve quickly (papers/reports/e-books) Repeated research consumes a lot of time Multi-platform data cannot be managed uniformly Sensitive data needs to be privately deployed
Khoj solves these pain points through three major innovations:
Full stack intelligence : document understanding + network research + automated processes Model freedom : support free switching of 30+ mainstream large models Privacy-free : Supports fully offline deployment
Six core functions
1. All-round document manager
# Document processing example
from khoj.processor import FileProcessor
processor = FileProcessor()
# Support PDF/Markdown/Word/Notion and other formats
processed_data = processor.ingest( "Annual Report.pdf" )
# Generate an intelligent knowledge base with semantic indexing
Supported formats: PDF/Image/Markdown/Word/Notion Core Competencies: Cross-document semantic search (Chinese and English mixed retrieval) Automatically generate knowledge graph Version History
2. Intelligent Research Assistant
# Start the automated research task
curl -X POST https://api.khoj.dev/research \
-H "Content-Type: application/json" \
-d '{
"topic": "Development trend of AI chips in 2024",
"sources": ["arxiv", "Industry White Paper"],
"schedule": "daily"
}'
Features: Automatically generate industry daily reports Dynamic monitoring of competitors Paper Trend Analysis
3. Full platform access matrix
Support channels: Browser plugins Obsidian/Emacs plugin Desktop Client WhatsApp bot REST API
4. Model Free Market
5. Automated production line
graph TD
A[trigger event] --> B{event type}
B -->|Scheduled tasks| C[Generate industry daily report]
B -->|Document Update| D[Send Change Notification]
B -->|Keyword trigger| E[Start in-depth research]
6. Enterprise-level security architecture
# Typical deployment scenario
services:
khoj:
image: khojai/khoj:latest
environment:
- ENCRYPTION_KEY=your_secure_key
- MODEL_PROVIDER=ollama
volumes:
- ./data:/app/data # Data persistence
Technical architecture analysis
Actual combat effect display
1. Intelligent Question and Answer Demonstration
"Please compare the advantages and disadvantages of Llama3-70B and GPT-4 in code generation, and cite data from papers published in the last three months"
2. Document analysis interface
Multi-document cross-reference Key information highlights Automatically generate summary
3. Sample automated report
Industry dynamics tracking Competitive product technical analysis Investment opportunity forecast
Comparison of similar solutions
| Khoj | |||||
Core advantages :
Out-of-the-box enterprise-grade solution Model/storage/deployment full-link autonomous and controllable Workflow + Knowledge Base + Automation Trinity
Quick Start Guide
1. Local deployment (done in 5 minutes)
# Docker one-click deployment
docker run -d -p 8000:8000 --name khoj \
-v ~/khoj-data:/app/data \
khojai/khoj:latest
2. Cloud service experience
Visit Khoj Web Choose a free plan to try it now Upload a test document to start Q&A
3. Advanced Configuration
# Custom model configuration example
from khoj.config import ModelConfig
config = ModelConfig(
provider = "ollama" ,
model_name = "llama3:70b" ,
temperature = 0.7 ,
max_tokens = 4096
)
Who is using it?
? Enterprise users : Building an internal knowledge hub ? Academic team : literature management and analysis ? Developer : Intelligent Programming Assistant ? Analyst : Industry Intelligence Automation
Similar projects recommended
Obsidian : Local-first knowledge management
Advantages: Powerful plugin ecosystem Limitation: Lack of AI integration LangChain : AI application development framework
Advantages: Flexible customization Limitation: Secondary development required Mem.ai : Intelligent Knowledge Base
Advantage: Automatic knowledge association Limitations: Closed-source services ? Connection : Breaking through fragmented information islands ? Intelligence : giving data real understanding ⚙️Automation : Release the productivity of repetitive labor
Summary and Outlook
Khoj is redefining the boundaries of human-machine collaboration by:
Whether you want to build a personal knowledge center or build an enterprise-level AI platform, Khoj provides a complete solution from community version to enterprise level.
Project interface
