搜索「Rag」的结果

app.formmy/formmy

Run WhatsApp AI agents: manage agents, conversations, CRM contacts, orders and RAG docs.

io.github.thedhruv-07/github-repo-mcp

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

io.github.dappros/ethora-mcp-cli

Ethora 聊天与消息平台的 MCP 服务器：聊天操作、AI 智能体、RAG 与自动化。

io.github.IvenKooLab/loci

Cross-session memory and hybrid RAG over your notes and docs. Local-first, with cited answers.

io.github.DemigodDSK/hubmesh

Deterministic multi-hop graph retrieval for RAG. Zero LLM calls in the query path.

io.github.jahanv01/sec-intelligence-mcp

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

io.github.HarimxChoi/google-surf-mcp

网页、学术与代码搜索，具备图 RAG、数据血缘、本体以及跨项目模式关联能力。

io.github.VBlackJack/cortex

Local multi-client RAG server over the Model Context Protocol.

com.opensolr/opensolr-mcp

面向智能体的托管 Apache Solr：BM25 与 kNN 混合检索、服务端嵌入与 RAG 问答。

io.github.raintree-technology/docpull

把公开网页来源同步为带引用出处的上下文包，供 AI 智能体、RAG 与 MCP 客户端使用。

io.github.GCTRL-TECH/gctrl

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

io.github.MachuraHarry/pipe-docs

Docs + source RAG for Pipe language: semantic search, cited answers, code symbol lookup.

io.github.MachuraHarry/pipe

AI-native runtime with built-in MCP server. 232 builtins, AI pipelines, RAG, single ~8 MB binary.

io.github.swnotmetal/koma-core-mcp

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

io.github.Dankaro-projects/shelfmark

Local, privacy-first document catalogue for AI agents: metadata-only discovery, no cloud, no RAG.

io.github.Samuelfmedeiros/arachne-mcp

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

io.github.tarazou9/garnet-mcp

RAG memory for LLM agents over Garnet Vector Sets: store text as embeddings, recall by meaning.

io.github.zaharajabeen13-create/inferra-mcp

Auditable rule-based decisions with RAG explanations: a Rete engine decides, an LLM explains why.

io.github.mrslbt/rippr-mcp

把 YouTube 字幕抓取到本地磁盘，供 AI 智能体、RAG 流水线与 LLM 工作流使用。

io.github.Yarmoluk/ckg-agentforce

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

io.github.Yarmoluk/ckg-nvidia-nemoclaw

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

app.faqai/mcp-server

在 Claude、Cursor 或任意 MCP 宿主中把任意文档变成可用于生产的 RAG 数据集。

io.github.VectifyAI/pageindex-mcp

基于推理的 RAG 系统，用于与长 PDF 对话。支持本地与在线文件。

io.github.divyanshu-iitian/searchforge

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