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
unum-cloud/UStore
UStore is a modular, multi-modal transactional database built for Artificial Intelligence and semantic search applications. It aims to replace traditional databases like MongoDB, Neo4J, and Elastic with a single, faster ACID-compliant solution. The project integrates vector search capabilities through USearch and UForm, making it suitable for AI and machine learning workflows that require efficient similarity retrieval. UStore supports various data modalities including blobs, documents, graphs, and vectors, and provides APIs compatible with popular data science libraries like Pandas and NetworkX, along with PyTorch data-loaders. It offers drivers for multiple programming languages including C, C++, Python, Java, and GoLang. The database supports different backends such as RocksDB and LevelDB, allowing for flexible deployment from in-memory to persistent storage, and can be accessed remotely via an Apache Arrow Flight RPC interface. Its core features include ACID properties (Atomicity, Consistency, Isolation, Durability) for reliable data transactions. While UStore is a general-purpose database in some respects, its explicit design emphasis on AI, semantic search, integrated vector capabilities, and ML-friendly interfaces positions it as a purpose-built tool for AI ops.
https://github.com/unum-cloud/UStore
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