“RAG”

AI 系统数据安全测试方法论。当需要评估 LLM/AI 系统的数据泄露风险、训练数据安全、 或 RAG/向量库数据完整性时触发。覆盖: System Prompt 泄露(元 Prompt/角色扮演/关键字定位)、 训练数据推导与提取、成员推断攻击、模型反演攻击、RAG 数据投毒、API 信息泄露、…

Web 与 AI 跨域攻击链方法论。当目标系统同时包含传统 Web 应用和 AI/LLM 组件、 需要评估 Web 漏洞对 AI 系统的影响或 AI 漏洞对 Web 系统的影响时触发。 覆盖双向攻击链: Web→AI(XSS 窃取对话/SSRF 调用模型 API/SQLi 污染 RAG/文件上传 RAG 投毒) 和…

Processar, comparar ou reindexar artigos acadêmicos no RAG MVLI com proveniência entre fonte, trecho e evidência.

Local multi-client RAG server.

LLM application architecture expert for RAG, prompting, agents, and production AI systemsUse when "rag system, prompt engineering, llm application, ai agent…

Orchestrate AI/ML pipelines for data ingestion, model training, batch inference, and RAG indexing using Prefect, Airflow, or Dagster.

Python framework for live data processing and RAG pipelines that run on a Rust engine.

Open-source platform for building AI apps, agentic workflows and RAG pipelines, available as managed cloud or self-hosted

Simple and fast retrieval-augmented generation library with several chunking strategies and storage backends.

给定 PMID/PMCID 取结构化全文（NLM BioC XML/JSON）。封装 BioC PubMed（标题+摘要）和 BioC PMC OA（开放获取全文）端点，输出按章节切分的段落、表格上下文、RAG 友好 chunk，适合大批量入向量库。Fetches structured fulltext from…

Build AI features with Vercel AI SDK (chat, agents, RAG, tools).

AI/LLM应用攻击:提示注入,Agent工具滥用RCE,RAG投毒,MCP供应链,torch.load pickle RCE。Use when testing LLM apps, agents, RAG, MCP plugins, or AI model file risks.

Microsoft Research pipeline that builds knowledge graphs from text to improve LLM question answering.

Context engine that indexes, retrieves and extracts entities from documents for agents.

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

Generate QA datasets & evaluate RAG systems with failure diagnosis.

Framework for building LLM-powered applications with agents, chains, and RAG.

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

Local-first RAG MCP server: hybrid search over a folder of your own documents

High-performance vector similarity search engine for RAG and semantic search.

ragcreator

ragcreator.comOfficial

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

Data framework for building LLM applications with RAG.

any RAG prompt, before blaming the retriever or the model.

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