Tree-search retrieval upends vector-based RAG for long, regulated documents
Read Our Expert Analysis
Create an account or login for free to unlock our expert analysis and key takeaways for this development.
By continuing, you agree to receive marketing communications and our weekly newsletter. You can opt-out at any time.
Recommended for you
Factify raises $73M to recast documents as intelligent, auditable objects
A Tel Aviv startup secured $73 million in seed financing to replace static files with a new document format that embeds identity, permissions and an immutable audit trail. The move targets enterprise pain points around version drift, data extraction for AI, and secure distribution, while relying on backward compatibility to lower adoption friction.
Observational memory rethinks agent context: dramatic cost cuts and stronger long-term recall
A text-first, append-only memory design compresses agent histories into dated observations, enabling stable prompt caching and large token-cost reductions. Benchmarks and compression figures suggest this approach can preserve decision-level detail for long-running, tool-centric agents while reducing runtime variability and costs.
Internal debates inside advanced LLMs unlock stronger reasoning and auditability
A Google-led study finds that high-performing reasoning models develop internal, multi-perspective debates that materially improve complex planning and problem-solving. The research implies practical shifts for model training, prompt design, and enterprise auditing—favoring conversational, messy training data and transparency over sanitized monologues.
OpenAI unveils Prism, an AI workspace tailored for scientific research
OpenAI launched Prism, a browser-based research workspace that embeds its newest model into project-level drafting, literature review and figure creation while keeping researchers in control. The company also published interaction statistics showing a sharp rise in advanced-topic use of its models and points to broader industry moves toward agentic, context-rich assistants — trends that make provenance, verification and institutional standards critical to Prism’s adoption.

Arcee AI unveils Trinity — a 400B-parameter Apache-licensed LLM aiming to reshape open-source AI
A small U.S. startup, Arcee AI, has released Trinity, a 400-billion-parameter foundation model under an Apache license and claims benchmark parity with leading open models. Trained in six months for $20M using 2,048 Nvidia Blackwell B300 GPUs, Trinity is text-only today with vision and speech plans and will be available in base, instruct, and unmodified ‘TrueBase’ flavors plus a hosted API coming soon.
AI Forces a Reckoning: Databases Move From Plumbing to Frontline Infrastructure
The rise of AI turns data stores into active components that determine whether models produce useful, reliable outcomes or plausible but incorrect results. Teams that persist with fragmented, copy-based stacks will face latency, consistency failures and fragile agents; the pragmatic response is unified, projection-capable data systems that preserve a single source of truth.

DeepSeek Signals Ambition to Compete with Google with a Multimodal, Multilingual AI Search
Recent job listings indicate DeepSeek is building an AI search product that can handle text, images and audio while supporting multiple languages. The postings also emphasize engineering work on evaluation, training data and scalable infrastructure—signals that the company aims for a reliable, production-grade search and agent platform rather than a research demo.

Coveo launches hosted MCP server to bridge enterprise content and major LLMs
Coveo released a hosted implementation of the Model Context Protocol to let large language models query enterprise content indexes while preserving security and governance. The offering is generally available for major commercial LLMs, is already in use by early customers, and queries count toward existing consumption-based licensing.