Agentic retrieval with LangChain and Amazon Bedrock Knowledge Bases | Amazon Web Services
When a user asks the support assistant, a Retrieval Augmented Generation (RAG) application built with LangChain to compare two products…
Tag: retrieval
Perplexity Introduces Photon: A Rust-Based Retrieval Engine That Cuts p99 Latency From 800 ms to 65 ms
By Asif Razzaq Publication Date: 2026-09-30 08:26:00 Perplexity has released Photon, an in-house retrieval and ranking engine written in Rust.…
Introducing V-RAG: revolutionizing AI-powered video production with Retrieval Augmented Generation | Amazon Web Services
A key development in generative AI is AI-powered video generation. Before AI, creating dynamic video content required extensive resources, technical…
Google AI Introduces STATIC: A Sparse Matrix Framework Delivering 948x Faster Constrained Decoding for LLM Based Generative Retrieval
By Asif Razzaq Publication Date: 2026-03-01 21:47:00 In industrial recommendation systems, the shift toward Generative Retrieval (GR) is replacing traditional…
Perplexity Just Released pplx-embed: New SOTA Qwen3 Bidirectional Embedding Models for Web-Scale Retrieval Tasks
By Asif Razzaq Publication Date: 2026-02-27 04:01:00 Perplexity has released pplx-embed, a collection of multilingual embedding models optimized for large-scale…
Introducing multimodal retrieval for Amazon Bedrock Knowledge Bases | Amazon Web Services
We are excited to announce the general availability of multimodal retrieval for Amazon Bedrock Knowledge Bases. This new capability adds…
Azure AI Search Introduces Agentic Retrieval for Enhanced Relevance
Microsoft’s Azure AI Search has introduced agentic retrieval, a query engine that autonomously manages retrieval strategies for complex questions. This…
Azure AI Search Unveils Agentic Retrieval for Smarter Conversational AI
Microsoft has launched the public preview of agentic retrieval in Azure AI Search, a query engine that autonomously plans and…
Google AI Researchers Propose Astute RAG: A Novel RAG Approach to Deal with the Imperfect Retrieval Augmentation and Knowledge Conflicts of LLMs – MarkTechPost
Google AI Researchers Propose Astute RAG: A Novel RAG Approach to Deal with the Imperfect Retrieval Augmentation and Knowledge Conflicts…
Assess the dependability of Retrieval Augmented Generation apps with Amazon Bedrock on Amazon Web Services
Retrieval Augmented Generation (RAG) is a technique that enhances large language models (LLMs) by incorporating external knowledge sources. It allows…