Low-code API builder for data teams to simplify AI workflows.
发布日期：2025-08-12
AI is already challenging our reality. Here are expert tools and tips that anyone can use to spot manipulation, verify information, and protect their organization from narrative attacks.
发布日期：2025-08-12
ChatGPT Study Mode's rote answers and lack of intellectual stimulation made me give up before I learned anything. AI developers - and educators - can do better. Here's my modest proposal.
发布日期：2025-08-07
艾伦·图灵研究所联合爱丁堡大学等机构发起「Doing AI Differently」倡议，提出将AI视为文化产物而非数学工具的革命性理念。本文解析其核心主张「Interpretive AI」如何通过多视角理解、上下文感知打破现有AI同质化困局，并探讨其在医疗、气候行动等领域的应用潜力。
发布日期：2025-08-06
The top frontier technologies for companies in 2025 include agentic AI and the fast-moving evolution of AI solutions in the marketplace.
发布日期：2025-08-06
The models are licensed under Apache 2.0, one of the most permissive open licenses. Here's what that means.
发布日期：2025-08-06
Google's new agents aren't chatbots. They're autonomous problem-solvers for the enterprise. Here's how they integrate with BigQuery, Spanner, and Gemini to transform analytics, coding, and infrastructure.
发布日期：2025-08-05
First, Cloudflare accused the AI company of bypassing no-crawl directives. Now Perplexity says Cloudflare has it all wrong.
发布日期：2025-08-04
Apple has been trying to catch up in the AI race. Can this AI search engine be the catalyst?
发布日期：2025-08-04
Can a new approach to AI model training prevent systems from absorbing harmful data?
发布日期：2025-08-04
Internet giant Cloudflare says it detected Perplexity crawling and scraping websites, even after customers had added technical blocks telling Perplexity not to scrape their pages.
What is Fleak?
Fleak is a low-code serverless API builder designed to simplify AI workflows for data teams without requiring infrastructure.
How to use Fleak?
Configure essential components of your data workflow, transform data, and integrate LLMs with ease on Fleak.
Fleak's Core Features
Serverless architecture for scalable AI workflows
Dynamic API builder for complex model chaining
Real-time monitoring of performance and correctness
Integration with cloud data warehouses and vector databases
Fleak's Use Cases
#1
Summarizing text and generating embeddings for storage in Pinecone
#2
Automating personalized email workflows using SQL and LLMs
#3
Enhancing LLM responses with Retrieval-Augmented Generation (RAG)
FAQ from Fleak
What is Fleak?
Can Fleak handle real-time data processing?
Is Fleak suitable for production environments?
What types of workflows can I build with Fleak?
Fleak Support Email & Customer service contact & Refund contact etc.
Here is the Fleak support email for customer service:
[email protected]
.
More Contact, visit
the contact us page(https://fleak.ai/contact)
Fleak Company
Fleak Company name:
Fleak.ai
.
More about Fleak, Please visit
the about us page(https://fleak.ai/company)
.
Fleak Pricing
Fleak Pricing Link:
https://fleak.ai/pricing
Fleak Youtube
Fleak Youtube Link:
https://x.com/getonfleak
Fleak Linkedin
Fleak Linkedin Link:
https://www.linkedin.com/company/fleak/
