Product Introduction

1. Airweave is an open-source developer tool designed to transform applications, databases, and document stores into searchable knowledge bases for AI agents. It connects to diverse data sources via pre-built integrations and provides a unified interface for agents to access structured and unstructured data. The tool eliminates manual data processing by automating synchronization and indexing workflows.
2. The core value of Airweave lies in enabling AI agents to operate with real-time, context-aware data from across an organization’s tech stack. It reduces development time for agent-building projects by abstracting complex data integration tasks. By providing instant access to user-specific or application-specific data, it helps deliver personalized and accurate agent responses.

Main Features

1. 100+ Pre-Built Connectors: Airweave supports integration with popular apps, databases (e.g., PostgreSQL, MongoDB), and document stores (e.g., S3, SharePoint) through OAuth2, API keys, or direct credentials. Developers can activate connectors in minutes without writing custom code, ensuring rapid deployment. The connectors handle authentication, schema mapping, and data normalization automatically.
2. Unified Agentic Search Layer: The tool aggregates data from all connected sources into a single search endpoint using semantic and keyword-based indexing. Agents can query across multiple tenants, applications, or workspaces through a unified API, reducing fragmentation in data retrieval. This layer supports filtering, relevance scoring, and real-time updates for dynamic datasets.
3. White-Labeled Multi-Tenant Support: Airweave enables secure data synchronization across multiple customer tenants with OAuth2-based isolation, ideal for SaaS platforms. Each tenant’s data remains logically separated while being searchable through a shared infrastructure. This feature simplifies compliance and scalability for businesses managing large user bases.

Problems Solved

1. Complex Data Integration: Traditional agent development requires custom code for data ingestion, synchronization, and security, which delays deployment. Airweave automates these processes, reducing engineering effort from months to days. It solves the challenge of maintaining consistent data access across fragmented systems.
2. Target User Group: The product is tailored for developers building AI-powered agents for customer support, internal workflows, or SaaS platforms. It also serves DevOps teams needing scalable, secure deployments and product managers aiming to enhance user experiences with data-driven agents.
3. Typical Use Cases: Enabling customer support agents to search user histories across CRMs and ticketing systems in real time. Allowing SaaS platforms to securely sync and query data for thousands of tenants. Accelerating RAG (Retrieval-Augmented Generation) pipelines for LLMs by providing pre-indexed knowledge bases.

Unique Advantages

1. Open-Source Flexibility with Enterprise Scalability: Unlike proprietary SaaS solutions, Airweave’s open-source model allows full customization of connectors, sync logic, and deployment architectures. It supports Docker Compose for testing, Kubernetes for production clusters, and hybrid cloud setups, unlike closed-platform alternatives.
2. No-Code and Code-First Hybrid Workflow: Users can configure connectors and sync schedules via a UI or programmatically using cURL, Python, or Node.js SDKs. This dual approach caters to both non-technical teams and developers requiring advanced customization, a rarity in similar tools.
3. Data Control and Security: Airweave does not store user data, allowing organizations to retain full ownership in their preferred storage systems. Multi-tenant isolation and automated encryption during syncs address compliance requirements for industries like healthcare and finance.

Frequently Asked Questions (FAQ)

1. How long does it take to get started with Airweave? Setup typically takes under 10 minutes using no-code connectors for common platforms like Slack or Salesforce. For custom databases, developers can configure credentials and schema mappings via YAML or the web UI. Initial syncs run immediately after connection validation.
2. Is Airweave customizable for my needs? Yes, the open-source codebase allows modifications to connectors, search algorithms, and deployment workflows. Pre-built hooks for Python and Node.js let developers extend functionality without rebuilding core features. Enterprise users can request custom connectors or priority support.
3. Can I integrate my existing data stores? Airweave supports Bring Your Own Data Stores (BYODS), including on-premises databases, cloud buckets, and proprietary apps. It uses read-only access for syncs to ensure source systems remain unmodified. Data is indexed into vector or keyword-based formats compatible with major AI frameworks.