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5
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工具介绍:
AI驱动的新闻平台
收录时间:
2024年7月11日
月流量:
--
社交媒体&邮箱:
339 用户
AskNews 工具信息

什么是AskNews?

AskNews是一家新闻平台,提供由人工编辑配合AI增强的洞察力,以减少偏见并构建对当前事件的透明视图。它提供多元化的新闻报道,实时事件跟踪,与AI助手的聊天以及开发人员工具,用于将新闻内容整合到应用程序中。

如何使用 AskNews?

要使用AskNews,可以浏览精选故事,尝试聊天功能,或使用API将丰富的新闻内容整合到应用程序中。

AskNews 的核心功能

人工编辑搭配AI增强的洞察力

来自世界各地的多元化新闻报道

实时事件跟踪

与AI助手聊天

新闻整合的开发人员工具

AskNews 的使用案例

#1

及时了解世界各地多元化的新闻

#2

将丰富的新闻内容整合到应用程序中

#3

与AI助手聊天进行与新闻相关的任务

来自 AskNews 的常见问题

AskNews是否完全免费使用?

AskNews索引哪些类型的新闻来源?

AskNews 评价 (1)

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John Brown

2024年7月11日

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AskNews 价格

免费套餐

免费

以每次$0.005的价格访问新闻API

付费套餐

每次$0.005起

按使用量付费

如需要最新的产品价格, 请访问这个链接查询最新价格: https://my.asknews.app/plans

AskNews数据分析

AskNews 网站流量分析

最新流量情况

月访问量
--
平均访问时长
00:00:00
每次访问页数
1.29
跳出率
35.80%
Apr 2024 - Jan 2025 所有流量

地理位置

Top 1 国家/地区

Mexico
100.00%
Apr 2024 - Jan 2025 仅桌面设备

流量来源

自然搜索
92.92%
直接访问
2.23%
社交媒体
2.23%
外链引荐
2.23%
展示广告
0.35%
邮件
0.03%
Apr 2024 - Jan 2025 仅限全球桌面设备

热门关键词

关键词
交通
每次点击费用
asknews.
--

AskNews Discord 用户数分析

最新用户数

339
(13)

社交媒体聆听

All
YouTube
Tiktok
33:43

Production-scale RAG for Real-Time News Distillation - Robert Caulk | Vector Space Talks #015

🎤 Meet our guest speaker: - Robert Caulk, Founder at Emergent Methods Title: "Production-scale Retrieval Augmented Generation for Real-Time News Distillation" Abstract: This talk aims to map out the cluster architecture at Emergent Methods for our AskNews.app deployment. We aim to explain how we process over 1 million news articles per day for fast real-time RAG consumption. In particular, we will discuss the roles and interactions of four open-source software packages, including a cluster orchestration software (Flowdapt), a vector database (Qdrant), an LLM server (vLLM), and an embedding server (TEI). This combination of services allows us to infuse a mixture of LLMs with the latest news, and to deploy an enriched chat to thousands of users simultaneously in a public-facing application. We will highlight the role of Qdrant for some of its indispensable features, including efficient batch upserting, fast search on millions of vectors, easy filtering, and multi-node scaling. Finally, we will discuss the key roles that Flowdapt plays for orchestrating production-scale RAG across a variety of services in real-time, including the importance of configurability, scheduling, and resource management. We will conclude with our thoughts on why we believe the incorporation of these tools at the foundation level of a start-up is a huge advantage in comparison to the big tech companies from the 2010s. Talk Takeaways: How we process over 1 million news articles by combining Flowdapt, Qdrant, vLLM, and TEI. Why Qdrant is indispensable for production-scale RAG. How Flowdapt improves deployability, configurability, scaling, scheduling, and resource management. Why new start-ups have a huge tech-stack advantage over 2010 era tech companies. Robert's Bio: Robert is a scientist by trade, dedicating his career to a variety of open-source projects that range from large-scale artificial intelligence to discrete element modeling. He is currently working with a team at Emergent Methods to adaptively model over 1 million news articles per day, with a goal of reducing media bias and improving news-awareness. -------------------------------------------------------------------------------- Connect with Robert and Emergent Methods: https://www.linkedin.com/in/rcaulk/ https://emergentmethods.ai https://asknews.app Connect with Demetrios: https://www.linkedin.com/in/dpbrinkm/ Follow Qdrant: https://www.linkedin.com/company/qdrant/ https://twitter.com/qdrant_engine Join the Qdrant Discord server: https://discord.gg/W4PejyMMKu

Qdrant - Vector Database & Search Engine
2024年2月23日
981
1
46:41

Catching Bad Guys using Graph Entity Resolution with Paco Nathan

Our guest is Paco Nathan, a Principal Developer Relations Engineer at Senzing.com (and listed as an “evil mad scientist” on LinkedIn). Paco works a lot within developer communities and tech events, and tries to provide many pointers to learning materials, industry analysis, and connect with many people. He presents talks, workshops, and hands-on tutorials about entity-resolved knowledge graph practices, and the related AI use cases which are downstream. Episode Notes Speaker Resources: * Neo4j+Senzing Tutorial: https://bit.ly/3AvKneU * When GraphRAG Goes Bad: A Study in Why you Cannot Afford to Ignore Entity Resolution (Dr. Clair Sullivan): https://www.linkedin.com/pulse/when-graphrag-goesbad-study-why-you-cannot-afford-ignore-sullivan-7ymnc/ * Paco’s NODES 2024 session: https://bit.ly/48sCSlD * Graph Power Hour: https://www.youtube.com/playlist?list=PL9-tchmsp1WMnZKYti-tMnt_wyk4nwcbH T* omaz Bratanic on GraphReader: https://towardsdatascience.com/implementing-graphreader-with-neo4j-and-langgraph-e4c73826a8b7 Tools of the Month: * Neo4j GraphRAG Python package: https://pypi.org/project/neo4j-graphrag/ * Spring Data Neo4j: https://spring.io/projects/spring-data-neo4j * Entity Linking based on Entity Resolution tutorial: https://github.com/louisguitton/spacy-lancedb-linker https://github.com/DerwenAI/strwythura * AskNews (build news datasets) https://asknews.app/ * The Sentry https://atlas.thesentry.org/azerbaijan-aliyev-empire/ Announcements / News: Articles: * Neo4j Developer Blog https://bit.ly/3LcYx6q Videos: * NODES 2023 playlist https://youtube.com/playlist?list=PL9Hl4pk2FsvUu4hzyhWed8Avu5nSUXYrb&si=8_0sYVRYz8CqqdIc Events * All Neo4j events: https://bit.ly/3Lb1Kn3 * (Nov 5) Conference (virtual): XtremeJ https://xtremej.dev/2024/schedule/ * (Nov 7) Conference (virtual): NODES 2024 https://bit.ly/47VqQkp * (Nov 8) Conference (Austin, TX, USA): MLOps World https://mlopsworld.com/ * (Nov 12) Conference (Baltimore, MD, USA): ISWC https://iswc2024.semanticweb.org/event/3715c6fc-e2d7-47eb-8c01-5fe4ac589a52/summary * (Nov 13) Meetup (Seattle, WA, USA): Puget Sound Programming Python (PuPPY) - Talk night Rover https://www.meetup.com/psppython/events/303896335/?eventOrigin=group_events_list * (Nov 14) Meetup (Seattle, WA, USA): AI Workflow Essentials (with Pinecone, Neo4J, Boundary, Union) https://lu.ma/75nv6dd3 * (Nov 14) Conference (Reston, VA, USA): Senzing User Conference https://senzing.com/senzing-event-calendar/ * (Nov 18) Meetup (Cleveland, OH, USA): Cleveland Big Data mega-meetup https://www.meetup.com/Cleveland-Hadoop/ * (Nov 19) Chicago Java User Group (Chicago, IL, USA): https://cjug.org/cjug-meeting-intro/#/ * (Dec 3) Conference (London, UK): Linkurious Days https://resources.linkurious.com/linkurious-days-london * (Dec 10) Meetup (London, UK): ESR meetup in London by Neural Alpha * (Dec 11-13) Conference (London, UK): Connected Data London https://2024.connected-data.london/

Neo4j
2024年11月1日
556
2

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