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Airweave - Universal Search for Apps and Databases

Airweave is an open-source tool enabling AI agents and users to seamlessly search across multiple applications and databases, consolidating information access.

Python
Added on 2025年5月12日
View on GitHub
Airweave - Universal Search for Apps and Databases preview
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Project Introduction

Summary

Airweave is a project designed to break down data silos by providing a single, unified search endpoint that can query information across disparate applications and databases. It acts as an abstraction layer, simplifying data retrieval for human users and AI agents.

Problem Solved

Information is often siloed across numerous applications and databases within organizations, making it difficult and time-consuming for users and automated agents to find necessary data quickly and efficiently.

Core Features

Universal Data Source Integration

Connects to various data sources including databases, SaaS apps (CRM, project management, etc.), and document stores.

Unified Search Layer

Provides a unified search interface or API endpoint for querying data across all connected sources simultaneously.

AI Agent Compatibility

Designed to be easily integrated with AI agents, chatbots, or automation workflows to provide context-aware information retrieval.

Tech Stack

Python
FastAPI
SQLAlchemy
Vector Databases (e.g., ChromaDB, Weaviate)
Integration APIs (e.g., OAuth, various service SDKs)
Docker

Use Cases

Airweave can be applied in various scenarios where accessing scattered information is a bottleneck:

Scenario 1: Enhanced Customer Support

Details

Customer support agents can quickly find customer details, order history (from CRM), support tickets (from ticketing system), and past interactions (from communication logs) via a single search.

User Value

Reduces resolution time and improves agent efficiency by providing a 360-degree view of the customer.

Scenario 2: Empowering Internal AI Agents

Details

Internal AI agents or chatbots can retrieve up-to-date information from company wikis, document management systems, project trackers, and shared drives to answer employee queries or automate tasks.

User Value

Increases the accuracy and capability of internal AI tools by providing access to comprehensive organizational knowledge.

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