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Introducing layered ranking for RAG applications
Introducing layered ranking: The missing piece for context engineering at scale.
Perplexity builds AI Search at scale on Vespa.ai
Perplexity chose to build on Vespa.ai to provide the world's most used RAG application.
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Why Life Sciences AI Is a Search Problem (Part 5 of 5)
The future of GenAI in pharma and healthcare isn’t about building bigger models — it’s about smarter retrieval.
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Louis Reed
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Why Life Sciences AI Is a Search Problem (Part 4 of 5)
The future of GenAI in pharma and healthcare isn’t about building bigger models — it’s about smarter retrieval.
Vespa Newsletter, December 2025
Advances in Vespa features and performance include automated ANN tuning, accelerated vector distance calculations with Google Highway, precise chunk-level matching with enhanced sameElement, and expressive proximity queries with nested NEAR...
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Why Life Sciences AI Is a Search Problem (Part 3 of 5)
The future of GenAI in pharma and healthcare isn’t about building bigger models — it’s about smarter retrieval.
Photo by
Louis Reed
on
Unsplash
Why Life Sciences AI Is a Search Problem (Part 2 of 5)
The future of GenAI in pharma and healthcare isn't about building bigger models - it's about smarter retrieval.
Photo by
Louis Reed
on
Unsplash
Why Life Sciences AI Is a Search Problem (Part 1 of 5)
The future of GenAI in pharma and healthcare isn't about building bigger models - it's about smarter retrieval.
Image from limpreom on Shutterstock
Beyond Vector Search: The Move to Tensor-Based Retrieval
Tensors preserve critical context, making them far better suited for advanced retrieval tasks where precision and explainability matter.
Image from Khanthachai C on Shutterstock.
Vector Search Is Reaching Its Limit. Here’s What Comes Next
As RAG applications evolve, they require richer data representations that capture relationships within and across modalities, like text, images and video.
🎄 Advent of Tensors 2025 🎅
We’re excited to announce Advent of Tensors 2025 — a 24-day coding challenge for anyone curious about tensors.
LLMs, Vespa, and a side of Summer Debugging
We built a standalone MCP server in Python, then rewrote it in Java for full Vespa integration — and lived to tell the tale.
Protein models Need a PLM Store: Turning Model Outputs into Searchable Biological Intelligence- beyond LLM's
A story about bridging AI models, LIMS data, and real-world biologics discovery.
Perplexity.ai
How Perplexity beat Google on AI Search with Vespa.ai
Perplexity demonstrates the quality of their search solution and show what it takes to achieve it
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