2 个仓库
Awesome GitHub RepositoriesDatabase-Integrated Workflows
Tools for managing and transforming vector data directly within relational database environments.
Distinct from Machine Learning Evaluation: Distinct from Machine Learning Evaluation: focuses on data management and transformation within the database rather than model performance assessment.
Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Database-Integrated Workflows. Refine with filters or upvote what's useful.
Awesome Database-Integrated Workflows GitHub Repositories
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- pgvector/pgvector
pgvector/pgvector
21,787在 GitHub 上查看Vector similarity search extension for PostgreSQL.
Enables storage and transformation of vector embeddings directly within the database for machine learning pipelines.
Cpostgresvector-searchembeddings - scisharp/llamasharp
SciSharp/LLamaSharp
3,714在 GitHub 上查看LLamaSharp is a .NET LLM inference library and local runtime that enables the execution of large language models on CPU and GPU hardware. It serves as a multimodal AI library capable of processing both text and image inputs to generate analytical textual responses without relying on external APIs. The project distinguishes itself as a grammar-based text generator that enforces specific output formats, such as JSON, through constrained sampling pipelines. It also functions as a retrieval augmented generation framework integration, allowing the combination of local inference with external data
Integrates local inference with external data indexing to implement retrieval-augmented generation workflows.
C#
