Turn Documents
to
Intelligence
Why Noesia
Built for teams who need RAG to actually work
Most RAG tools optimize for demos. Noesia optimizes for production — with evaluation, observability, and control at every stage.
Experiment First
Design, compare, and validate RAG configurations before production. Run side-by-side tests on chunking, embeddings, and retrieval.
Structured Pipelines
Explicit control over every stage — ingestion, chunking, retrieval, and reasoning. Every component is modular.
Evaluation Built-In
Metrics, scoring, and human feedback at every step. Know when quality degrades before users do.
Production-Ready
Low-latency APIs, governance controls, and deployment tooling from day one.
The Pipeline
Six Stages. Full Control.
Every component is modular, configurable, and independently testable.
Ingest
Documents & data sources
Index
Chunking & embeddings
Retrieve
Search & reranking
Reason
LLMs & context assembly
Eval
Testing & scoring
Serve
APIs & deployment
Document Understanding
Choose how deeply Noesia reads each document
Not every document is plain text. Match the right level of understanding to each source — from fast structured extraction to full vision-model reading.
Standard
Fast, structured extraction.
- Text, layout, and reading order
- Tables preserved as structured data
- Best for clean, text-based documents
Enhanced
Adds vision understanding.
- Everything in Standard
- Understands figures, charts, and formulas
- Descriptions for embedded visuals
Vision
Full vision-model reading.
- Reads scanned and image-only pages
- Handles complex, visually dense layouts
- Language-aware — Arabic and English
Every mode runs through the same pipeline — switch depth per document, without re-architecting anything.
See how Noesia understands documentsArabic & English
Document intelligence that reads Arabic natively
Most platforms treat Arabic as an afterthought. Noesia understands Arabic and English documents directly — preserving meaning, structure, and direction so retrieval stays accurate in either language.
- Native Arabic reading — including scanned and image-based pages
- Correct right-to-left layout and mixed Arabic–English documents
- Vision models tuned for Arabic script, not just transliteration
تقرير سنوي: تحليل أداء المحفظة الاستثمارية للربع الأخير
استخرجت نوإيسيا الجداول والأرقام والبنود من المستند الممسوح ضوئيًا.
Annual report: portfolio performance analysis for the last quarter
Tables, figures, and clauses extracted from the scanned document.
See How Intelligence Is Built
Configure pipelines, test retrieval strategies, and compare results in a workspace built for production teams.
Your Way to Intelligence
Use Noesia the way your team works: visual dashboard, developer API, and MCP for AI assistants.
Use Cases
Designed for Real AI Teams
From enterprise search to internal assistants — Noesia supports teams from prototype to production.
Enterprise Search
Ground answers in internal documents with relevance controls and full source traceability.
RAG Evaluation
Test pipelines against real queries. Compare quality across configurations before deployment.
Internal Assistants
Build assistants with source-aware responses your teams can actually rely on.
Platform Teams
Run modular, API-first workflows with clear ownership and full observability.
Works with your stack
Deploy Anywhere. Connect Everything.
OpenAI
Anthropic
Gemini
Ollama
vLLM
LiteLLM
ZAI
Qwen
BytePlus
QdrantOpenAIAnthropicGeminiOllamavLLMLiteLLMZAIQwenBytePlusQdrant
Supabase
pgvector
Google Cloud
AWS
Azure
Alibaba Cloud
OCI
Huawei Cloud
MCPSupabasepgvectorGoogle CloudAWSAzureAlibaba CloudOCIHuawei CloudMCP