“RAG”

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

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

Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why.

PDF, DOCX and scans to Markdown, CSV tables and RAG chunks with OCR.

Fetch URLs and return clean Markdown for RAG — nav, ads and boilerplate stripped.

Check content rights before RAG, AI input, training or indexing.

Imperium RAG-Diet — Web & Document Context Distiller (85-97% Token Savings)

agentdiet.dev

Strips 85-97% of HTML/DOM boilerplate into clean Markdown, skeletons, or BM25-ranked RAG chunks.

Butterbase MCP server — manage your backend: schemas, auth, functions, storage, RAG, deploys.

Medical RAG: semantic search for clinical guidelines, drug interactions, diagnoses & EHR data.

AI Readiness Kit

silverbackmarketing

Generate 18 AI readiness files (llms.txt, ai.txt, RAG indexes, schema) for any website.

Sovereign intelligence dossiers, daily briefings, RAG search, knowledge graph, codon optimizer.

ragcreator

ragcreator.comOfficial

Build a RAG pipeline station by station and search your own documents with cited answers.

Find and compare named scrapers using saved evidence; compare APIs, proxies and RAG extractors.

12 pay-per-event data APIs: Maps, TikTok, Instagram, YouTube, LinkedIn, RAG, reviews, fuel, AEO.

Self-hosted AI workspace: semantic RAG document search, long-term memory, and AI chat.

130+ QA & dev tools for AI agents: prompt injection, RAG testing, VLM eval, guardrails.

Search your knowledge bases from any AI assistant using hybrid RAG.

x402 or card pay-per-call: invoice JSON, DNS, whois, SSL, geocode, tokens.

Agent MCP: 35 tools — social hot lists, attention trends, 80k+ books, 17 web tools.

Agent-native security, trust, reliability, data and procurement tools for AI workflows.

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.

Salesforce AgentForce knowledge graph — 40 nodes, Einstein Trust Layer, 11x fewer tokens than RAG.