“RAG”

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

Local web search with multi-engine deep research and on-device re-ranking.

Turn any web page into clean Markdown, text or token-bounded RAG chunks (via RapidAPI).

Scans RAG content/scraped pages for indirect prompt injection

Diagnose RAG drift: interpret scores, recommend thresholds, explain dimensions.

NVIDIA NemoClaw knowledge graph — 55 nodes, F1 0.576 (+269% vs RAG), 11x fewer tokens.

Full-text financial reports (US, China, Japan, Korea, Taiwan, UK) as clean Markdown for RAG agents.

Semantic search over WSO2 docs (APIM, IS, MI, Choreo, Ballerina) via RAG and pgvector.

MCP server for GitHub repo health, commit summaries, issue triage, and RAG Q&A.

SEC 10-K/10-Q/8-K search, RAG Q&A, comparison, and anomaly detection with citations.

Turn any URL into clean Markdown or text for LLMs, RAG and agents.

Convert.eml and.mbox email to clean Markdown for RAG, LLM pipelines, and local knowledge bases

Ingest and analyze Terraform modules from multiple repositories for AI RAG systems

Read markdown with inlined images and index headings for agentic RAG workflows.

SQL Server MCP with RAG capabilities for macOS (Docker SQL Server support)

SQL Server MCP with RAG capabilities for Windows (native ODBC support)

Free open-source web search and page reading for LLMs, AI agents, and RAG.

Any URL to clean, LLM-ready Markdown for RAG.