Pathway

Overview

Pathway is a Python framework for building real-time AI applications with native vector search capabilities. Unlike traditional RAG systems that work with static data, Pathway provides streaming data processing with automatic index updates.

Features

• Real-Time Vector Index: Built-in in-memory vector index, no separate database needed
• Streaming Data: Automatic document sync from SharePoint, Google Drive, etc.
• Auto-Indexing: Detects document changes and re-indexes within seconds
• Adaptive RAG: Dynamically adjusts document quantity, reducing token costs by 4x
• Rust Engine: Powered by scalable Rust engine based on Differential Dataflow
• Incremental Computation: Efficient updates without full recomputation
• Python API: Simple Python interface with multithreading and multiprocessing
• Distributed: Supports distributed computations across multiple nodes

Use Cases

• Real-time RAG applications
• Live document search systems
• Always-current AI assistants
• Streaming analytics with vector search
• Enterprise knowledge bases with frequent updates
• Anomaly detection with embeddings

Performance

Handles high-throughput streaming data with low-latency vector search. Incremental updates are significantly faster than rebuilding entire indexes.

Integration

Integrates with LangChain and other LLM frameworks. Supports various data sources including file systems, databases, and APIs.

Pricing

Open-source framework with commercial support and managed offerings available.