“RAG”

Retrieve relevant excerpts from a project's text files without loading entire files into context.

Apple developer docs and WWDC transcripts with RAG retrieval and Jev relevance ranking.

Minimal RAG-over-a-corpus MCP retrieval: search_knowledge returns cited chunks.

Repository intelligence, code graph, history, papertrail, and cross-agent memory for coding agents.

Build retrieval and RAG with Anvia — chunking, embeddings, vector stores, knowledge graphs, filters, and search tools.

Designs and implements production-grade RAG systems by chunking documents, generating embeddings, configuring vector stores, building hybrid search pipelines…

Local RAG MCP server with hybrid search, PDF/DOCX support, and zero-config setup

Use for RAG pipelines, retrieval augmented generation, ColBERTv2, context retrieval, multi-hop RAG, and grounded DSPy answers.

Use when building self-correcting retrieval systems for AI agents.

Easy-to-setup local RAG server with minimal configuration

Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK.

Design RAG pipelines: chunking, retrieval evaluation, and architecture.

How Palimind's RAG pipeline works (ingest → chunk → embed → retrieve → rerank → respond).

Use when comparing basic, enhanced, GraphRAG, or agentic RAG designs, evaluating domain-specific RAG quality, tuning retrieval components, or deciding whether…

Triggers on keywords RAG, GraphRAG, vector database, agentic RAG, semantic search

Use when needing global or relational understanding of codebases or knowledge corpora.

Local-first agentic RAG with citations - hybrid search, reranking, multimodal document retrieval

Use this skill when you need evidence-bounded grounding, relevance, completeness, citation support, abstention, and answer-level evidence in RAG outputs…

Discovers requirements, and generates architectural, design, and deployment guidance for a retrieval-augmented generation (RAG)-capable enterprise search…

Detect persistent-memory poisoning and RAG/knowledge-base contamination via dialogue testing.

RAG-as-a-service MCP sunucusu — çok-kiracılı koleksiyon yönetimi, metin ingest (chunk+embed+upsert,…

Citation-guarded retrieval over 22M Taiwan court judgments and administrative interpretations

AIChat is a comprehensive LLM command-line tool written in Rust that combines chat-REPL, shell command generation, RAG, AI tools, and multi-provider support…

Private knowledge base for indexing multimodal files or folders into a knowledge graph, supporting multi-hop graph retrieval