Tag: rag
Building AI Applications with Vercel AI SDK
This skill guides developers through building advanced AI features, including agents, chatbots, and RAG systems, using the Vercel AI SDK. It covers best practices for streaming, tool calling, structured output, and integrating various LLM p…
NEXO Brain Cognitive Memory System
A local-first cognitive memory system for AI agents implementing the Atkinson-Shiffrin model with semantic RAG and error prevention. It provides episodic memory, trust scoring, and automated memory decay for persistent agent intelligence.
Cognee: Graph-Based Memory for Agents
Cognee is a Python framework for building and managing persistent, graph-based memory for autonomous agents. It enables structured and unstructured data ingestion into knowledge graphs to support advanced retrieval-augmented generation and …
Semantic Codebase Search and Understanding Tool
This tool provides intelligent retrieval across codebases and documentation using hybrid search. It leverages code embeddings and a knowledge graph to enable semantic searching and pattern matching, aiding in codebase understanding and comp…
Optimize RAG chunk size and retrieval settings
This skill systematically sweeps various chunk sizes and retrieval modes (keyword, hybrid, rerank) to benchmark and determine the optimal configuration for your specific corpus. It reports standard metrics like nDCG and MRR against a golden…