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
zilliztech/VectorDBBench
VectorDBBench (VDBBench) provides a robust platform for benchmarking the performance and cost-effectiveness of both open-source and cloud-based vector databases. It assists users, including non-professionals, in reproducing benchmark results and comparing different systems to identify the optimal choice for their needs. The tool features an intuitive visual interface for easy benchmark initiation and results visualization. It also offers cost-effectiveness reports, particularly relevant for cloud services, to provide practical insights. VDBBench supports diverse testing scenarios, including insertion, searching, and filtered searching, mimicking real-world production environments. It incorporates public datasets like SIFT, GIST, and Cohere, as well as an OpenAI-generated dataset, ensuring credible and reliable data for comparisons. The project is sponsored by Zilliz, the company behind Milvus, and supports a wide array of vector database clients, allowing for flexible testing across multiple platforms. This tool is crucial for anyone looking to make informed decisions when selecting a vector database for their AI/ML applications.
https://github.com/zilliztech/VectorDBBench
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