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AI Development
LiveWeb

NexumFive: Platforma ng AI Chat na Pang-Enterprise na Multi-Model

Isang pinag-isang, nakabase sa kredito na AI workspace na sumasaklaw sa isang Web App na may Split Mode at GrouPT, isang collaborative workspace ng Proyekto na may mga dokumento/spreadsheet/artifacts, isang Admin Dashboard para sa marketplace at pagmo-moderate ng gastos, at isang dual RAG layer (lokal na FAISS plus isang remote na microservice na suportado ng Milvus) — lahat ay nagpapagana ng limang AI provider sa ilalim ng isang bubong.

Tingnan ang Higit Pang mga Proyekto
22+
Technologies
11+
Key Features

Mga Pangunahing Tampok

Multi-model AI chat na may 5 provider (OpenAI, Claude, Gemini, Grok, Perplexity)Split Mode para sa magkatabing model comparisonGrouPT para sa multi-AI group discussionsDual RAG — lokal na FAISS + remote Milvus na may hybrid searchProjects collaborative workspace na may TipTap at Fortune Sheet

Mga Highlight ng Development

Pinag-isang 5-provider chat na may streaming SSESplit Mode at GrouPT multi-AI discussionsDual RAG architecture — FAISS + Milvus na may hybrid searchProjects workspace na may TipTap at Fortune SheetWorkflows na may autopilot at guest executionGPTs/Experts marketplace na may custom GPT builder5-tier RBAC na may per-provider cost analytics

Technology Stack

React 18TypeScriptViteTailwind CSSNode.jsExpressPrisma ORMPostgreSQLRedisBullMQOpenAIAnthropic ClaudeGoogle GeminixAI Grok

Aming Kontribusyon

Arkitektura ng Platforma

Dinisenyo ang five-surface platform architecture — Web App, Projects workspace, Admin Dashboard, RAG Microservice, at Local FAISS Service.

Pinag-isang Chat Layer

Binuo ang pinag-isang multi-provider chat layer na may streaming SSE responses sa buong OpenAI, Claude, Gemini, Grok, at Perplexity mula sa isang solong conversation thread.

Sistema ng Kakayahan

Inihatid ang sistema ng Kakayahan — Perplexity-powered web search na may mga citation, malalim na research sessions, RAG-context-injected image generation, file upload + RAG indexing, at ang Nexum Five solution agent.

Split Mode at GrouPT

Ipinatupad ang Split Mode at GrouPT — magkatabing dual-pane comparison at structured multi-AI discussions na may mga mode ng debate, brainstorm, at analysis.

Sistema ng Artifacts

Naihatid ang sistema ng Artifacts na may HTML/JSX/TSX live preview, version history, conversation linking, social features, at isang community marketplace.

Workflow Engine

Ininhinyero ang workflow engine (Solutions) na may multi-step autopilot execution, progress bars, shareable links, at guest execution nang walang authentication.

Workspace ng Proyekto

Binuo ang collaborative workspace ng Proyekto pinagsasama ang TipTap document editor, Fortune Sheet spreadsheet editor, at isang artifact code editor — lahat ay RAG-grounded laban sa mga file ng proyekto.

Dual RAG Architecture

Dinisenyo ang dual-storage RAG architecture — lokal na FAISS para sa kaalaman sa bawat-usapan at bawat-GPT na may disk-backed indices, at isang remote na microservice na suportado ng Milvus para sa project-scale workloads.

Hybrid Retrieval

Ipinatupad ang hybrid retrieval pinagsasama ang vector similarity, BM25 keyword matching, at recency scoring na may IndexTag-scoped search para sa personalization.

Admin at Billing

Naihatid ang Admin Dashboard na may user management, marketplace moderation, per-provider/model/user cost analytics, manual credit adjustments, pricing config, at full audit log. Isinama ang AWS Cognito authentication na may 5-tier RBAC at ang credit-based billing system sa LemonSqueezy.

Mga Resulta

Mga AI Provider: Isang interface para sa 5 nangungunang AI modelArkitektura ng RAG: Production-grade dual RAG (FAISS + Milvus)Kolaborasyon: RAG-grounded na mga dokumento at spreadsheetMga Marketplace: Aktibong GPTs, Workflows, at Artifacts marketplaces

Ano ang Nagpapaespesyal Dito

Pinag-iisa ang limang nangungunang AI provider sa likod ng isang solong credit-based interface, nagdaragdag ng collaborative project workspaces na may grounded RAG, at nagpapakilala ng multi-AI features tulad ng Split Mode comparison at GrouPT group discussions na walang sinumang provider ang nag-aalok nang natively.

Galeria

NexumFive: Platforma ng AI Chat na Pang-Enterprise na Multi-Model - Image 1
NexumFive: Platforma ng AI Chat na Pang-Enterprise na Multi-Model - Image 2
NexumFive: Platforma ng AI Chat na Pang-Enterprise na Multi-Model - Image 3
NexumFive: Platforma ng AI Chat na Pang-Enterprise na Multi-Model - Image 4
NexumFive: Platforma ng AI Chat na Pang-Enterprise na Multi-Model - Image 5
NexumFive: Platforma ng AI Chat na Pang-Enterprise na Multi-Model - Image 6

May Katulad na Proyekto sa Isip?

Pag-usapan natin kung paano namin maipapatupad ang iyong bisyon na may parehong antas ng kasanayan at dedikasyon.

Makipag-ugnayanTingnan ang Higit Pang mga Proyekto
Web
Platform
NexumFive: Platforma ng AI Chat na Pang-Enterprise na Multi-Model
Artifacts na may HTML/JSX live preview at marketplace
GPTs/Experts marketplace na may custom GPT builder
Workflows (Solutions) na may autopilot at guest execution
Credit-based billing sa pamamagitan ng LemonSqueezy
5-tier RBAC na may AWS Cognito
Admin dashboard na may per-provider cost analytics
Perplexity
FAISS
Milvus 2.6
AWS Cognito
AWS S3
LemonSqueezy
TipTap
Fortune Sheet

Mga Madalas Itanong

MicrocosmWorks implemented a normalized credit system in NexumFive where each AI provider's token costs are mapped to a universal credit value maintained in the admin pricing configuration. When a user switches between OpenAI, Claude, Gemini, Grok, or Perplexity mid-conversation, the backend calculates credit consumption based on the per-model cost multiplier. The admin dashboard provides per-provider and per-model cost analytics for accurate margin tracking.

MicrocosmWorks designed the dual RAG system so local FAISS handles per-conversation and per-GPT knowledge with disk-backed indices for fast single-user retrieval, while the remote Milvus-backed microservice handles project-scale workloads requiring cross-document search across large file collections. Hybrid retrieval combines vector similarity, BM25 keyword matching, and recency scoring, with IndexTag-scoped search ensuring personalization within each user's data.

GrouPT is MicrocosmWorks' implementation of structured multi-AI discussions where multiple AI models participate in a conversation with defined roles. Users configure debate, brainstorm, or analysis modes, and the system orchestrates sequential responses from selected models (OpenAI, Claude, Gemini, Grok, Perplexity) via streaming SSE. Each model receives the full conversation context plus its role instructions, enabling comparative analysis of model strengths on the same prompt.

MicrocosmWorks built the Projects workspace combining TipTap for document editing, Fortune Sheet for spreadsheets, and an artifact code editor. All project files are automatically indexed into the Milvus RAG layer via a BullMQ embedding pipeline that processes documents on save. When users query the AI within a project context, retrieval is scoped to that project's indexed files, grounding responses in the team's actual documents and data.

MicrocosmWorks shipped a full marketplace system in NexumFive with community-published GPTs (custom AI personas with specialized instructions and knowledge), Workflows (multi-step automated processes with autopilot execution), and Artifacts (reusable HTML/JSX components with live preview). Users build custom GPTs through a no-code builder that configures system prompts, attached knowledge files indexed via FAISS, available tools, and model preferences.