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
StarTrail-org/LEANN
LEANN is a novel vector database specifically engineered to facilitate personal AI applications, particularly Retrieval Augmented Generation (RAG) systems, directly on personal devices like laptops. Its core innovation lies in a graph-based selective recomputation method combined with high-degree preserving pruning, allowing it to store only 3% of the data compared to traditional vector databases without compromising accuracy. This approach enables the indexing and searching of millions of documents with substantial storage savings. LEANN emphasizes privacy, ensuring that user data remains on the local device, eliminating the need for cloud services or external APIs. The project's goal is to make RAG applications accessible and practical for individual users, allowing them to semantic search and analyze their file systems, emails, browser history, chat logs, agent memories (like ChatGPT conversations), and live data from platforms such as Slack and Twitter. It boasts portability, scalability for messy personal data, and maintains high search accuracy while being remarkably lightweight. The system aims to democratize personal AI by providing a robust, private, and efficient infrastructure for RAG on diverse personal data sources.
https://github.com/StarTrail-org/LEANN
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