pathwaycom/llm-app
Ready-to-run cloud templates for building real-time RAG, AI pipelines, and enterprise search applications that synchronize with various live data sources.
Awesome Infra for AI › Vector Databases & Retrieval Infrastructure
Airweave serves as a critical middleware layer, connecting diverse data sources like applications, databases, and documents, and continuously synchronizing their data. It then exposes this consolidated data through a unified, LLM-friendly search interface, enabling AI agents and RAG systems to retrieve relevant, grounded, and up-to-date context efficiently. The platform handles essential functionalities such as authentication, ingestion, data syncing, indexing, and retrieval, abstracting away the complexities of building fragile data pipelines for each agent or integration. Its core purpose is to provide shared retrieval infrastructure that AI agents can query via SDKs, REST API, or native integrations with popular agent frameworks. This ensures that agents can access necessary information from multiple sources in a single request, thereby improving the accuracy and relevance of AI-generated responses.
https://github.com/airweave-ai/airweave
Ready-to-run cloud templates for building real-time RAG, AI pipelines, and enterprise search applications that synchronize with various live data sources.
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