The RAG layer
your AI
can stand on.
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
Ground
Citations & faithfulness
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
RAG 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.
AI Products
Put grounded search and cited answers inside your own product through a scoped API.
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.
Agents over MCP
Give AI assistants and agents token-scoped retrieval through the Model Context Protocol.
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