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, and edge gateways — orchestrated for folder-native RAG, not consumer upload chat.

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, GLM, and Cloudflare Workers AI — with metered lanes and provider-native wire formats, not a single-model chat wrapper.

OpenAI

GPT-5.x · GPT-5.4 mini/nano

Structured outputs, vision, and reasoning lanes with provider-native wire formats.

tool calling vision structured JSON

Anthropic

Claude Opus · Sonnet · Haiku · Fable

Anthropic-native tool loops and long-context engineering RAG orchestration.

Claude AI tool use long context

Google

Gemini 3.1 Pro · 2.5 Pro · Flash

Gemini multimodal extraction, summarization, and Cloudflare edge inference paths.

Gemini AI multimodal edge

Groq

GPT-OSS 120B · Whisper STT

Groq-accelerated speech-to-text and ultra-low-latency inference lanes.

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 routes.

DeepSeek RAG reasoning

xAI

Grok 4.x · Grok Build

Grok-family models via direct and Cloudflare Workers AI gateway lanes.

Grok AI gateway

Alibaba Qwen

Qwen3.5 · Qwen3.7 Plus · Qwen3 VL

Qwen vision-language and plus-tier models for multilingual engineering corpora.

Qwen AI VL models

Cloudflare Workers AI

OpenAI · Anthropic · Google · xAI · Qwen

Verified edge gateway ecosystem — route without co-mingling customer KB data.

edge AI gateway Workers AI

Together AI

Moonshot Kimi · Qwen · DeepSeek · MiniMax

Open-model hosting for Moonshot, Qwen, and DeepSeek fallback lanes.

open models hosting

DeepInfra

Kimi · Qwen VL · DeepSeek · GLM · MiniMax

High-throughput open-weight routes with metered billing transparency.

inference API

Fireworks AI

Kimi · DeepSeek · Qwen · GLM · MiniMax

Premium open-model lanes for vision and code-heavy extraction workflows.

Fireworks AI

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.

Cloudflare Workers AI provides a verified gateway ecosystem for OpenAI, Anthropic, Google, xAI, and Alibaba models at the edge — while customer knowledge bases stay in isolated data planes. External provider 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); Cloudflare Workers AI (OpenAI · Anthropic · Google · xAI · Qwen); Together AI (Moonshot Kimi · Qwen · DeepSeek · MiniMax); DeepInfra (Kimi · Qwen VL · DeepSeek · GLM · MiniMax); Fireworks AI (Kimi · DeepSeek · Qwen · GLM · MiniMax); 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 — General chat; Vevesh adds persistent KB indexes, RBAC, and verification loops.

ChatGPT — Session uploads; Vevesh replaces one-off attachments with living folder indexes.

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 gatewayLangGraph tool callingCloudflare Workers AI RAGhybrid vector BM25 searchteam knowledge base RBACzero retention AI privacy

Ready to put your project knowledge to work?

Vevesh is in active development with early design partners. Reach out to join the preview or discuss deployment for your team.

No spam. No sales deck unless you ask. We onboard engineering teams who have real folders to index.