cag

Cache-Augmented Generation: A Simple, Efficient Alternative to RAG

Next-gen AI language tutor utilizing a novel Trace-CAG pipeline for zero-hallucination pedagogical feedback

AI-Suite - n8n, OpenClaw, Open WebUI, OpenCode, Llama.cpp/Ollama, Flowise, Langfuse, MCP Gateway and more!

Kusto and Log Analytics MCP server help you execute a KQL (Kusto Query Language) query within an AI prompt, analyze, and visualize the data.

A local LLM chatbot with CAG / Context Caching for PDF input files

AI-powered agent is designed to compare the performance of these two cutting-edge approaches, providing insights into their strengths, weaknesses, and real-world applications.

Supercharge your AI workflows by combining Anyparser’s advanced content extraction with Crew AI. With this integration, you can effortlessly leverage Anyparser’s document processing and data extraction tools within your Crew AI applications.

Agente de tramites publicos de La Rioja (Argentina) que compara CAG (Cache-Augmented Generation) contra RAG. Proyecto academico con fuentes oficiales y metricas reproducibles.

AI-Powered Git Repository Assistant. (An AI tool to answer questions about any GitHub repo)

Voice and text powered Agentic AI orchestration platform

An agentic AI gift concierge platform that combines cognitive memory systems, RAG-powered product retrieval, specialist agent orchestration, reflection loops, and personalized recommendation intelligence for Sri Lankan e-commerce experiences.

The RAG, CAG and KAG pipelines implementation

FastAPI-based Context-Aware PDF Query System

A cost-optimization case study comparing RAG and CAG architectures, showcasing efficient API usage and local CPU deployment with Google Gemini and Llama 3.2 via Ollama.

⚡ Cache-Augmented Generation (CAG) as a Service — pre-load SOPs, runbooks or FAQs into an LLM context for zero-latency knowledge queries. Supports Ollama, OpenAI, Anthropic & HuggingFace. pip install + Docker included.

HireSense.ai is an AI-driven talent intelligence platform that leverages semantic embeddings, RAG pipelines, and LLM-based re-ranking to evaluate candidate–job compatibility beyond traditional keyword matching.

Conduct automated security audits of web apps and APIs to find authentication, input, rate limiting, and secrets management issues.

Python · NumPy · RAG/CAG/MAG — RAG vs CAG vs MAG, measured on real data with ground-truth answers. Where the cost crossover actually is, and why prompt caching decides it.

Turn thousands of documents into a local private knowledge base. A production-ready Next.js + FastAPI application running entirely on consumer hardware. Powered by 6 synchronized retrieval methods and an intelligent self-correcting routing loop heavily focused on eliminating LLM hallucinations.

Cache-Augmented Generation (CAG) demo with the Gemini API — load documents into a context cache once, query at a ~90% token discount. Live savings dashboard + CAG-vs-full-context compare mode.