Keeping your models reliable requires more than just better prompts — it requires better context.
In this update, we’re rolling out improvements across Paladio’s data context engine to help teams ship AI features faster, with higher confidence.

1. Faster Context Retrieval

We’ve rebuilt the entire retrieval layer to make your data context responses faster and more consistent.

What’s improved

• Reduced average lookup time by 37%

• Improved caching for repeated queries

• Better clustering for long-form documents

  
  

Why it matters

When LLMs receive context faster, apps feel instantly more responsive — and more accurate.

2. Smarter Metadata Extraction

Metadata extraction is now powered by a redesigned semantic layer.

New capabilities

• Auto-detect entities, metrics, and domain-specific concepts

• More accurate tagging for mixed content (tables + text)

• Improved detection for versioned documents

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Example

{
  "entity": "Sales Pipeline",
  "metric": "Conversion Rate",
  "timeRange": "Q1 2024"
}

3. Improved Data Lineage Tracking

Understanding where your LLM outputs come from is crucial.
Paladio now maps the full lineage from source → chunk → retrieval → model output.

You can now see:

• Which source document influenced a specific answer

• How many chunks were selected

• Confidence scores per chunk

• Retrieval reasoning (experimental)

This makes audits and debugging dramatically easier.

4. Better Support for Unstructured + Structured Data

We’ve expanded support for hybrid datasets so teams can use SQL tables and PDFs inside the same context graph.

Examples supported now

• CSV + PDF + Notion pages

• SQL + Knowledge base articles

• JSON logs + system documentation

LLMs now understand structured context even when mixed with narrative content.

5. New Evaluation Benchmarks

To help teams measure improvements, we added new evaluation tasks:

• Retrieval precision & recall

• Hallucination rate tracking

• Context relevance scoring

• Failure mode classification

These benchmarks plug directly into your Paladio workflow.

What’s Coming Next

Here’s a preview of what we’re working on:

• Context rewriting (auto-optimizing retrieved chunks)

• Task-aware retrieval

• Real-time streaming context updates

• Observability dashboard v2

Final Thoughts

This update is all about helping teams build more reliable, inspectable, and scalable AI systems. If you haven’t tried the new features yet, jump into your workspace and explore the improved data context engine.