“RAG”

Local-first RAG engine with MCP server for AI agent integration.

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

GitHub repository vectorizer and context synthesizer for RAG pipelines.

Calypso multimodal RAG for grounded answers from docs, images, charts, and knowledge.

Crawl any documentation site and return heading-bounded, LLM-ready chunks with source metadata.

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

MCP RAG: index PDFs, repos, YouTube, Discord, text; optional YouTube vision; query with citations.

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

Generate QA datasets & evaluate RAG systems with failure diagnosis.

Web, academic and code search with graph RAG, data lineage, ontology and cross-project schema links.

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

Connect AI assistants to TestRail: manage test cases, suites, runs, results, and attachments.

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

Governed graph-native agent memory: knowledge extraction, fusion, hybrid RAG, scoped access tokens.

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

Protected RAG storage — agents discover public metadata, content only by access token.

Arachne MCP — scraping, browser, vision, OCR, RAG, Social Research, GitHub + VRT (56 tools).

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.

Managed Apache Solr for agents: hybrid BM25+kNN search, server-side embeddings, RAG answers

Leafmelt

cybermax.cybermax-tools.workers.dev

PDF/Word/Excel/HTML to clean Markdown for LLMs and RAG.

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

Token counting, RAG chunking, truncation, HTML to Markdown and JSON repair

AI assistant with RAG, web search, filesystem and memory.