RAG App Example with Self-hosted Embedding and LLM Services
Distribute and run AI workloads on Kubernetes magically in Python, like PyTorch for ML infra.
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Open-Source RAG Evaluation Toolkit
docs.giskard.aiLearn more about Giskard 🎯 RAGET Testset Generation | The Testing platform for AI models.
RAG-based AI assistant in PHP
github.comAn AI assistant built with PHP, Solr and LLM backend of choice. Proof of concept mostly.
Enables small-to-large self-hosted ai models to use local source code when running tool-calling agentic workloads. We actively data mine 20,900+ (2+ TB) popular github repos using large and small ai models to create reuseable: json, markdown and parquet files for local-first tool-calling models.
Rag Framework
github.com🚀 Scale your RAG pipeline using Ragswift: A scalable centralized embeddings management platform
Flux
github.comA Python-like language in Rust to solve ML orchestration overhead