Context Gems

Free, open-source LLM framework that makes it radically easier to extract structured data and insights.

[Context Gems @context_gem]

The ContextGem Difference: It’s more than just a wrapper, it’s a complete framework built to simplify and scale structured extraction.

ContextGem abstracts away the toughest parts of schema design, validation, and parsing, so you can focus entirely on logic, not boilerplate. Define your structure once, and let ContextGem handle everything from prompt alignment to output consistency.

It’s designed for developers who want clean, predictable data from language models, without wrestling with custom validators or fragile regex scripts.

[🚨 AI News | TestingCatalog @testingcatalog]

BREAKING 🚨: Google keeps working on the Interactive Mode for Stitch, where AI will predict how the UI should look after navigating to the next page.

It is a glimpse into how the internet will work in the future. All UI will be generated on the fly and react to user interactions

Some other upcoming features:
- Image Mode "Generate design inspirations"
- Annotations
- Export to Jules

[Context Gems @context_gem]

Constantly verifying data types breaks focus and wastes time. ContextGem takes that off your plate with automated data modeling and validation, keeping every output structured and consistent.

Forget about mismatched schemas or messy outputs, your data stays clean and dependable from start to finish. It’s smart automation built to understand your workflow.

[Context Gems @context_gem]

Nested context extraction can get messy fast, layers within layers, references buried deep, and meanings that shift with every paragraph.

ContextGem’s intuitive pipeline design makes all of that effortless. It untangles complexity automatically, letting you focus on insight instead of syntax. From legal documents to technical reports, it handles the toughest structures with precision and speed.

Complex documents aren’t a challenge anymore, they’re just another dataset ready to be understood.

[Context Gems @context_gem]

ContextGem seamlessly handles input and output across different languages, complex prompts and extra setup fade away. It just understands and adapts. From French research papers to Japanese contracts or Spanish reports, everything flows naturally.

Global document processing is finally effortless, one system, every language, zero friction. It’s like giving your workflow a passport.

Now you can collaborate across borders, scale projects globally, and keep every context intact. Language becomes a feature, not a barrier.

[Stitch by Google @stitchbygoogle]

We just shipped a massive upgrade to our design agent.🚢

We’ve tuned it to push Gemini 2.5 Pro to its maximum creative limits. The results? More interesting layouts, richer colors, sharper copy, and better font/photo pairings.

In our testing, users preferred the new results by a significant margin.

See the comparison for yourself in the video (old is on the left, new is on the right) [sound on!]. Try it on something new or take an existing project and re-run your prompt.

[Context Gems @context_gem]

ContextGem brings transparency and control to your LLM workflows, letting you shape how the model extracts, interprets, and responds through real example-based calibration.

You don’t just prompt; you guide. The result is sharper accuracy, consistent tone, and output that actually fits your task. Smarter training starts with ContextGem.

[Context Gems @context_gem]

Aspect extraction that truly scales, from sentiment and tone analysis to risk detection and obligation tracking, ContextGem handles it all in one intelligent pass.

Built on open-source foundations, it’s yours to extend, refine, and shape for your unique workflows. Designed for precision, built for scale, and powered by a community that never stops evolving.

[Context Gems @context_gem]

ContextGem makes persistence effortless, serialize and deserialize your objects and results seamlessly for storage, caching, and transfer.

Your workflows stay consistent, your data remains portable, and your system stays optimized. Every operation flows naturally, ensuring that progress carries forward with precision and stability.

From experimentation to deployment, ContextGem keeps your intelligence intact, always ready, always in sync.

[Patrick Loeber @patloeber]

Today, we're introducing the new vibe coding experience in @GoogleAIStudio!🔥

We want to make it as easy as possible for you to build AI apps :) Short demo of what's new:

[Context Gems @context_gem]

ContextGem delivers more than answers, it reveals their origins. Every extraction is tied to the exact paragraph or sentence it came from, ensuring full transparency and trust in your data flow.

Built for researchers, analysts, and enterprises that value traceability, ContextGem turns every insight into a verifiable, auditable source of truth.

[Context Gems @context_gem]

Working across multiple LLMs just got smarter. ContextGem’s Grouped LLMs feature lets you assign role-specific tasks with built-in fallback logic, ensuring reliability, precision, and performance at scale.

From structured extraction to adaptive reasoning, each model plays its part in harmony. It’s the kind of orchestration that keeps your AI systems robust, predictable, and production-ready.

[Context Gems @context_gem]

ContextGem is open-source and growing fast, powered by builders, researchers, and curious minds like yours. Your ideas, feedback, and contributions shape the future of LLM-powered extraction.

Together, we’re building a foundation for transparent, auditable, and intelligent data systems that scale with trust.

[Context Gems @context_gem]

Extraction Justifications bring a new level of transparency to AI-driven data extraction. ContextGem doesn’t just deliver results, it shows the reasoning behind them, ensuring auditability, trust, and confidence at every step.

[Context Gems @context_gem]

LegalTech and FinTech teams are redefining efficiency with ContextGem. Effortlessly parse contracts, compliance reports, or financial statements, and extract specific clauses or metrics using the Aspects API.

No more manual review, just structured, actionable data ready for analysis. ContextGem bridges legal language and machine understanding, helping organizations move faster, stay compliant, and scale their intelligence.

[Google AI Developers @googleaidevs]

A single prompt is all it takes to turn a starter app into your next big idea ✨

AI Studio gives you the codebase to remix and deploy.

See what you can build → https://t.co/Ad5eChhiaa

[Context Gems @context_gem]

Optimization isn’t just a step, it’s a strategy. ContextGem’s Optimization Guide helps you pick the right LLM, strike the perfect balance between cost and accuracy, and process long documents with ease. Smarter workflows, sharper results.

[Context Gems @context_gem]

ContextGem supports multi-level extraction pipelines that go beyond surface insights. Start by extracting high-level aspects, then dive deeper to uncover concepts within those aspects, capturing meaning, context, and relationships all at once.

It’s structured understanding at scale, giving you granular insights that power smarter models, better analytics, and truly context-aware AI systems. Whether you’re analyzing documents, reviews, or datasets, ContextGem transforms unstructured text into layered intelligence, helping you see not just the data, but the story it tells

[Context Gems @context_gem]

Messy string outputs are a thing of the past. With ContextGem’s Concepts API, you can extract clean, structured data with precision, whether it’s a JsonObjectConcept, DateConcept, or RatingConcept.

Designed for clarity and control, it turns raw text into reliable, machine-readable insight.

[Context Gems @context_gem]

The built-in DocxConverter makes parsing Word documents effortless, turning DOCX files into clean, LLM-ready data in seconds. Extra dependencies or setup headaches aren’t required.

It’s fast, reliable, and built for real-world scale, handling everything from structured reports to unformatted drafts with precision. Just seamless conversion that preserves structure, formatting, and meaning.

Designed for builders who want reliable document parsing for AI pipelines and intelligent workflows that scale effortlessly.