AI and infrastructure news
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- 19 days ago
arxiv.orgLocal-first search: retrieval for sensitive data
A paper published on June 30, 2026 proposes a framework for privacy-focused information retrieval, with indexes, models, and inference on users’ devices.
- 19 days ago arxiv.org
CAMI evaluates RAG indexes under a limited budget
Published on June 30, 2026, the CAMI paper proposes selecting semantic enrichment indexes for ingestion pipelines based on retrieval goals and computational cost.
- 19 days ago arxiv.org
CMDR evaluates multimodal retrieval across document pages
Published on July 8, 2026, the article presents CMDR and CMDR-Bench for retrieving relevant pages from multimodal documents, including queries that depend on context across pages.
- 19 days ago arxiv.org
Comparing RAG approaches for semi-structured data
A paper published on June 25, 2026 presents a framework for comparing four RAG approaches across nine standardized scenarios.
- 19 days ago arxiv.org
How to allocate capacity in hierarchical search agents
An article published on July 9, 2026 examines delegation and execution roles in hierarchical search agents and identifies task decomposition as the main performance bottleneck.
- 19 days ago arxiv.org
Diffusion-GR2 speeds up reasoning-based reranking
A post dated July 2, 2026 reports that Diffusion-GR2 achieves ranking accuracy close to an autoregressive model, with decoding 2.4–3.5 times faster.
- 19 days ago arxiv.org
Relevance embeddings for candidate retrieval
A Yandex paper published on July 7, 2026 describes query and item embeddings to retrieve candidates efficiently when relevance scoring is costly.
- 19 days ago huggingface.co
Multimodal embeddings expand search across visual content
In a post published on August 25, 2026, Tencent describes a model that represents text, images, video, and visual documents in a shared space and claims top results on two benchmarks.
- 19 days ago arxiv.org
GraphRAG for questions across document collections
A paper published on September 24, 2026 presents an approach to answering global questions about a corpus, which standard retrieval of individual passages may not handle well.
- 19 days ago arxiv.org
KbSD proposes calibrating search decisions in agents
Published on June 30, 2026, the paper describes a self-distillation method to guide search agents in choosing between model memory, retrieved evidence, or abstention.
- 19 days ago arxiv.org
MaxSim and the capacity to represent inner products
An article dated July 8, 2026, shows that MaxSim can exactly replicate inner products between nonnegative k-sparse vectors, providing a theoretical basis for late-interaction retrieval systems.
- 19 days ago arxiv.org
NapMem proposes active navigation of conversational memory
An article published on July 8, 2026 presents NapMem, a framework that organizes a user's history into a linked memory pyramid with multiple levels of granularity.
- 19 days ago arxiv.org
Hard negatives for two-tower retrieval
A paper published on July 2, 2026 proposes using LLM-derived item clusters to generate hard negatives in real time for two-tower recommendation models.
- 19 days ago arxiv.org
Production RAG: evaluating retrieval improvements
A paper published on June 30, 2026, evaluates RAG retrieval strategies and whether their benefits hold across collections with varied formats.
- 19 days ago arxiv.org
In-context retrieval: study tests scale up to one million tokens
A paper published on July 6, 2026, examines language models as retrievers over one-million-token corpora. Its 0.6-billion-parameter BlockSearch generalizes up to 10 times beyond its training length, according to the study.
- 19 days ago blog.google
Multimodal retrieval with embeddings in a shared space
In a post published on October 6, 2026, Google says EmbeddingGemma 2 represents text, code, images, video, and audio in a shared vector space and uses the Apache 2.0 license.
- 19 days ago github.com
ripwire structures repository context for coding agents
Published on September 6, 2026, ripwire is a CLI and MCP server that analyzes 21 languages and returns relevant symbols, relationships, and tests in a token-limited response.
- 19 days ago arxiv.org
SearchEyes connects simulated worlds to agent training
The SearchEyes paper describes a simulated search world built on a typed knowledge graph for training multimodal agents. Published on July 8, 2026, it addresses gaps among training data, search environments, and reward signals in multi-hop reasoning.
- 19 days ago arxiv.org
SHIFT proposes gates for knowledge conflicts in RAG
Published on June 29, 2026, the paper presents an intervention in FFN activations to balance retrieved evidence and a model’s internal knowledge.
- 19 days ago arxiv.org
STEB compares style embeddings across 96 datasets
Published on July 1, 2026, the post presents an open-source benchmark evaluating style embeddings across 96 datasets and seven languages.
- 19 days ago github.com
Tencent launches WeMM-Embedding multimodal models
On August 26, 2026, Tencent announced a family of embedding models for searching and recommending text, images, and videos. Companies can evaluate multimodal retrieval on their own data.
- 19 days ago arxiv.org
Trie execution plans may speed up retrieval pipeline experiments
An article published on July 2, 2026 presents a radix trie execution plan for PyTerrier that reuses shared prefixes and reports reductions of up to 26% in experiment time.
- 19 days ago github.com
WeKnora: a knowledge framework with LLMs to evaluate on your own infrastructure
In a post published on September 14, 2026, Tencent describes WeKnora, an open-source framework for document understanding, semantic retrieval, and autonomous reasoning, with source-based answers and self-hosting options.
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