1
Ingest
Connect Knowledge at Scale
Bring in files and knowledge sources with repeatable ingestion workflows built for growing teams.
What You Can Configure
- Batch ingest for large document sets
- Consistent parsing across document formats
- Job visibility and operational traceability
2
Index
Index Knowledge with Precision
Choose from multiple chunking strategies and embedding workflows to structure your data for accurate retrieval.
What You Can Configure
- Semantic and fixed chunking options
- Embedding model flexibility across providers
- Vector and hybrid retrieval support
3
Retrieve
Retrieve What Matters
Deliver accurate, contextually relevant answers by controlling how context is selected and ranked at query time.
What You Can Configure
- Fine-grained relevance controls
- Reranking support for higher answer quality
- Fast response paths for production workloads
4
Reason
Orchestrate High-Quality Responses
Guide response generation with explicit prompt logic and context controls to improve consistency and trust.
What You Can Configure
- Prompt templates aligned to business tasks
- Context assembly tuned for answer reliability
- Model flexibility without lock-in
5
Eval
Measure What Actually Works
Compare RAG configurations using real queries, metrics, and human feedback.
What You Can Configure
- A/B testing pipelines
- Accuracy and relevance scoring
- Human-in-the-loop evaluation
6
Serve
Deploy and Operate at Scale
Expose capabilities through APIs and operate your retrieval stack with confidence.
What You Can Configure
- API-first delivery for product teams
- Latency-aware architecture
- Governance and operational controls
Ready to build with control?
Join teams using Noesia to build production-grade document intelligence with explicit pipeline control.