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360 Smart Cloud
360 Smart Cloud
Dec 1, 2025 · Artificial Intelligence

How to Build Real‑Time Streaming Speech Recognition with a Large‑Model API (Go & Python)

This guide explains the background of speech‑to‑text technology, introduces the large‑model streaming speech recognition API, walks through obtaining an API key, and provides detailed Go and Python code for establishing a WebSocket connection, sending full‑client and audio‑only requests, and parsing server responses.

AIGolangSpeech Recognition
0 likes · 12 min read
How to Build Real‑Time Streaming Speech Recognition with a Large‑Model API (Go & Python)
Fun with Large Models
Fun with Large Models
Nov 17, 2025 · Artificial Intelligence

Building a Multimodal RAG System with LangChain 1.0: Core Architecture and Smart Q&A Development

This article walks through the design and implementation of a multimodal Retrieval‑Augmented Generation (RAG) system using LangChain 1.0, detailing a front‑end/back‑end separated architecture, FastAPI service setup, multimodal data handling, conversation history management, streaming responses, and Postman testing to verify the intelligent Q&A module.

FastAPILangChainMultimodal RAG
0 likes · 15 min read
Building a Multimodal RAG System with LangChain 1.0: Core Architecture and Smart Q&A Development
Lin is Dream
Lin is Dream
Jul 9, 2025 · Backend Development

Mastering Reactive Streaming with Spring WebFlux: Build Real‑Time APIs Like DeepSeek

This article explains how traditional synchronous JSON responses differ from modern streaming responses, introduces reactive programming concepts, and shows step‑by‑step how to implement non‑blocking, high‑throughput APIs using Spring WebFlux, Mono/Flux, SSE, WebSocket, and related protocols.

JavaStreaming APIreactive-programming
0 likes · 10 min read
Mastering Reactive Streaming with Spring WebFlux: Build Real‑Time APIs Like DeepSeek
ITPUB
ITPUB
Jun 26, 2016 · Big Data

How to Combine R with Hadoop for Petabyte-Scale Data Processing

This article explains three practical approaches—Streaming APIs, the Rhipe package, and RHadoop—to integrate R with Hadoop, enabling R to process petabyte-scale datasets, compares their setup complexity, capabilities, and trade‑offs, and highlights key conclusions for choosing the right method.

HadoopRRHadoop
0 likes · 4 min read
How to Combine R with Hadoop for Petabyte-Scale Data Processing