1 个仓库
Awesome GitHub RepositoriesRAG Framework Integrations
Integrations that enable the retrieval of vector data for use in Retrieval-Augmented Generation workflows.
Distinct from Database-Integrated Workflows: Focuses on the specific RAG pattern of retrieval for LLM augmentation, rather than general data transformation workflows.
Explore 1 awesome GitHub repository matching artificial intelligence & ml · RAG Framework Integrations. Refine with filters or upvote what's useful.
Awesome RAG Framework Integrations GitHub Repositories
用 AI 发现最棒的仓库。我们将通过 AI 为您搜索最匹配的仓库。
- 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#
