Infino unifies agent data retrieval on Parquet to cut stack complexity
OpenSearch veterans launch Infino, an open source retrieval layer that lets AI agents query a single Parquet copy of data, replacing fragmented search and vector stacks.
Results for “retrieval”
Daily coverage of AI, developer tools and infrastructure. Each story explains what happened and why it matters, with a link to the original source.
EmbeddingGemma 2 brings multimodal search to consumer hardware
Google releases EmbeddingGemma 2, a lightweight open model that unifies text, code, audio, and video embeddings for efficient on-device retrieval.
Fine-tuning search agents with multi-turn reinforcement learning on SageMaker
Amazon demonstrates how multi-turn RL fine-tunes a Qwen3.6-27B search agent, cutting failure rates from 22% to under 1% while improving retrieval quality.
When to add graph structures to retrieval-augmented generation systems
Graph RAG adds explicit relationship evidence to vector search, helping agents answer multi-hop questions about dependencies and policies without hallucinating connections.
