vrin 0.1.3

AI-powered knowledge management and retrieval system

VRIN Memory Orchestration

AI-powered knowledge management and retrieval system that provides human-like neural memory capabilities.

Quick Start

pip install vrin

from vrin import VRIN

# Create VRIN client with your API key
vrin = VRIN(api_key="your_api_key_here")

# Insert knowledge into memory
vrin.insert("Python is a programming language created by Guido van Rossum in 1991")

# Retrieve knowledge using natural language queries
results = vrin.query("What is Python?")
print(results)

That's it! VRIN automatically handles:

• ✅ Fact extraction and knowledge structuring
• ✅ Neural memory retrieval with semantic search
• ✅ Temporal context and conflict resolution
• ✅ Pronoun resolution for clarity
• ✅ User isolation and security

Features

🧠 Neural Memory System

• Human-like memory retrieval using semantic similarity
• Automatic fact extraction from natural language
• Temporal context awareness and conflict resolution

🔍 Intelligent Search

• Natural language querying
• Semantic similarity matching
• Context-aware responses
• Anti-hallucination protection

🛡️ Enterprise Security

• User isolation and data privacy
• API key management
• Secure authentication
• Rate limiting and monitoring

📊 Knowledge Graph Visualization

• Interactive graph visualization
• Real-time knowledge mapping
• Relationship discovery
• Temporal fact tracking

Installation

pip install vrin

Basic Usage

1. Initialize the Client

from vrin import VRIN

# Option 1: Pass API key directly
vrin = VRIN(api_key="your_api_key_here")

# Option 2: Use environment variable
import os
os.environ["VRIN_API_KEY"] = "your_api_key_here"
vrin = VRIN()

2. Insert Knowledge

# Insert single piece of knowledge
result = vrin.insert("Python is a high-level programming language created by Guido van Rossum")

# Insert multiple pieces of knowledge
texts = [
    "Python was first released in 1991",
    "Python is known for its simplicity and readability",
    "Guido van Rossum is the creator of Python"
]
results = vrin.insert_multiple(texts)

3. Query Knowledge

# Basic query
results = vrin.query("What is Python?")

# Advanced query with LLM processing
results = vrin.query_advanced("Explain the history of Python programming language")

4. Access Knowledge Graph

# Get complete knowledge graph
graph = vrin.get_knowledge_graph()
nodes = graph['data']['nodes']
edges = graph['data']['edges']

API Reference

Core Methods

insert(text: str)

Insert knowledge into the system.

result = vrin.insert("Knowledge text here")

query(query: str)

Query knowledge using natural language.

results = vrin.query("What is the capital of France?")

get_knowledge_graph()

Retrieve the complete knowledge graph.

graph = vrin.get_knowledge_graph()

Advanced Methods

query_advanced(query: str)

Advanced query with LLM processing (may timeout for complex queries).

results = vrin.query_advanced("Complex query with reasoning")

insert_multiple(texts: List[str])

Insert multiple pieces of knowledge at once.

results = vrin.insert_multiple(["Text 1", "Text 2", "Text 3"])

query_multiple(queries: List[str])

Query multiple questions at once.

results = vrin.query_multiple(["Question 1", "Question 2"])

Error Handling

The SDK provides specific exception types for different error scenarios:

from vrin import VRINError, VRINAuthenticationError, VRINRateLimitError

try:
    result = vrin.query("What is Python?")
except VRINAuthenticationError:
    print("Invalid API key")
except VRINRateLimitError:
    print("Rate limit exceeded")
except VRINError as e:
    print(f"General error: {e}")

Configuration

Environment Variables

• VRIN_API_KEY: Your VRIN API key
• VRIN_BASE_URL: Custom API endpoint (optional)

Client Configuration

vrin = VRIN(
    api_key="your_api_key",
    base_url="https://custom-endpoint.com",  # Optional
    timeout=30,                              # Request timeout in seconds
    max_retries=3                            # Maximum retry attempts
)

Examples

Basic Knowledge Management

from vrin import VRIN

vrin = VRIN(api_key="your_api_key")

# Store knowledge about a topic
vrin.insert("Machine learning is a subset of artificial intelligence that enables computers to learn without being explicitly programmed.")

# Query the knowledge
results = vrin.query("What is machine learning?")
print(results)

Multi-step Knowledge Building

# Build knowledge incrementally
vrin.insert("John is a software engineer")
vrin.insert("John works at Google")
vrin.insert("Google is a technology company")

# Query complex relationships
results = vrin.query("Where does John work?")
print(results)

Knowledge Graph Analysis

# Get the complete knowledge graph
graph = vrin.get_knowledge_graph()

# Analyze the structure
nodes = graph['data']['nodes']
edges = graph['data']['edges']

print(f"Knowledge graph contains {len(nodes)} entities and {len(edges)} relationships")

Contributing

We welcome contributions! Please see our Contributing Guide for details.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

• 📧 Email: [e-mail]
• 📖 Documentation: https://docs.vrin.ai
• 🐛 Issues: https://github.com/vrin-ai/vrin-python/issues