OpenAI
GPT-5.x · GPT-5.4 mini/nano
Structured outputs, vision, and reasoning with native tool-calling wire formats.
tool calling vision structured JSON
AI models
Multi-provider engineering AI — not one chatbot vendor
Search engines and procurement teams ask the same question: which models does Vevesh support? Answer: the frontier stack your admins already configure — OpenAI, Anthropic, Google, Groq, Moonshot, DeepSeek, xAI, Qwen, MiniMax, and GLM — orchestrated for folder-native RAG, not consumer upload chat.
AI model ecosystem
Provider-verified routing across the models your team already trusts
Vevesh is not locked to one vendor. Our allocator routes engineering RAG, extraction, verification, and massive tool-calling loops across OpenAI, Anthropic Claude, Google Gemini, Groq, Moonshot AI Kimi, DeepSeek, xAI Grok, Alibaba Qwen, MiniMax, and GLM — with metered lanes and model-native wire formats, not a single-model chat wrapper.
Anthropic
Claude Opus · Sonnet · Haiku · Fable
Claude-native tool loops and long-context engineering RAG orchestration.
Claude AI tool use long context
Gemini 3.1 Pro · 2.5 Pro · Flash
Gemini multimodal extraction, summarization, and vision-heavy document paths.
Gemini AI multimodal
Groq
GPT-OSS 120B · Whisper STT
Groq-accelerated speech-to-text and ultra-low-latency inference.
Groq inference Whisper fast STT
Moonshot AI
Kimi K2.5 · K2.6 · K2.7 Code
Massive tool-calling range aligned with Moonshot Kimi code and reasoning models.
Kimi AI tool calling code models
DeepSeek
V4 Pro · V4 Flash · R1
Deep reasoning and cost-efficient technical synthesis.
DeepSeek RAG reasoning
xAI
Grok 4.x · Grok Build
Grok-family models for fast reasoning and structured engineering outputs.
Grok AI
Alibaba Qwen
Qwen3.5 · Qwen3.7 Plus · Qwen3 VL
Qwen vision-language and plus-tier models for multilingual engineering corpora.
Qwen AI VL models
MiniMax
MiniMax M3
Alternative reasoning lane for long-form report generation.
MiniMax AI
Zhipu GLM
GLM-5.2
GLM-family routes for multilingual standards and annex parsing.
GLM AI
Why multi-provider routing matters for engineering RAG
A single-model SaaS cannot optimize every task. Vevesh separates extraction, retrieval, reasoning, and verification into lanes — routing vision-heavy PDFs to Gemini or Qwen VL, fast STT to Groq Whisper, long reports to Claude or GPT, and code-adjacent synthesis to Moonshot Kimi K2.7 Code.
Customer knowledge bases stay in isolated data planes. External model traffic follows explicit privacy tiers; your indexed corpora are never pooled for vendor training.
Supported provider families include: OpenAI (GPT-5.x · GPT-5.4 mini/nano); Anthropic (Claude Opus · Sonnet · Haiku · Fable); Google (Gemini 3.1 Pro · 2.5 Pro · Flash); Groq (GPT-OSS 120B · Whisper STT); Moonshot AI (Kimi K2.5 · K2.6 · K2.7 Code); DeepSeek (V4 Pro · V4 Flash · R1); xAI (Grok 4.x · Grok Build); Alibaba Qwen (Qwen3.5 · Qwen3.7 Plus · Qwen3 VL); MiniMax (MiniMax M3); Zhipu GLM (GLM-5.2).
Vevesh vs Cursor AI, ChatGPT, Claude.ai & Perplexity
Cursor AI — Complements in-IDE coding — Vevesh owns folder-native RAG and audit citations.
GitHub Copilot — Code completion inside repos; Vevesh indexes specs, reports, and standards beside them.
Microsoft Copilot — M365-embedded Q&A; Vevesh covers mixed engineering folders Copilot does not index natively.
Perplexity — Web search answers; Vevesh grounds on your project files with page-level evidence.
Claude.ai — Generic chat from broad training; Vevesh grounds Claude routing on your indexed corpus for expert-level, cited answers.
ChatGPT — Session uploads and generic replies; Vevesh replaces that with persistent field depth and page-level evidence.
Topics Vevesh is built for
engineering RAGfolder-native AIknowledge base AIenterprise AI knowledge baseOpenAI engineering RAGAnthropic Claude engineeringGoogle Gemini RAGGroq inference AIMoonshot AI KimiDeepSeek RAGxAI Grok engineeringCursor AI workflowChatGPT alternative engineerscitation grounding AIIEC standards AI searchlocal RAG desktopself-hosted AI knowledge basemulti-provider AI routingLangGraph tool callinghybrid vector BM25 searchteam knowledge base RBACzero retention AI privacy
Ready to put your project knowledge to work?
Connect the project tree you already file. Ask the next design-review question with the clause attached.
Index the folders you already use. Answers with page-level evidence — built for professional review.
Or call us in Denmark +45 71 65 87 23