Google Ads“
I had it look up competitor pricing across Southeast Asia — with sources I can verify. Half a day of research down to 20 minutes.
Chen Wei
Cross-border SaaS · Co-founder · Singapore
AI Chat, Management & Team Collaboration
With AskAIs AI LLM, get answers backed by real-time web search and analyze your files, your on-demand work assistant.
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askais · chat
Explain in plain terms what a vector database is — and any recent progress?
AskAIs is generating · 6 steps (3.2s)
Understand the question
Identify the intent: first a plain-language concept, then time-sensitive info like "recent progress"; decide that going online is needed to add the latest content.
Decide whether to search
needsSearch matches time-sensitive terms like "recent/progress" and triggers a live search; if no search API is available, it honestly states it didn't go online and never fabricates sources.
Search the web
Calls search_agent to look up "vector database latest progress" and pulls the top 3 results (title / snippet / source URL).
Break down key points
Splits into three parts — "what it is — how to use it — recent developments" — and flags which search results are usable and which are irrelevant.
Compose the answer
Uses the decide tool to select chat_response, then sets structure, depth, and language (following the user's message language).
Generate the reply
Streams the Markdown body, appends [1][2] citation markers after factual sentences, bolds subheadings, and sends done to finish.
Generated · web-connected answer · 3 sources
Vector database · concept + recent progress
Web-connected · GPT · 3.2s · 3 sources
Using GPT to think… · 6 steps · 3.2s
What is a vector database
A vector database turns text, images, and more into high-dimensional vectors and retrieves them by similarity — widely used for semantic search and RAG[1]. Compared with keyword matching, it understands "meaning" rather than just the literal text[2].
Recent progress
Recently, mainstream engines keep iterating on hybrid retrieval (vector + keyword) and lower-latency indexing[3], better serving large-scale RAG scenarios.
Sources · 3 (web-connected)
1
Vector databases: a primerexample-docs.org
A storage engine that turns text/images into high-dimensional vectors and retrieves them by similarity.
2
Semantic search: a comparative reviewexample-blog.com
Understands "meaning" rather than literal matching; common in semantic search and RAG.
3
Vector search: latest developmentsexample-news.com
Hybrid retrieval (vector + keyword) and lower-latency indexing keep advancing.
// HOW IT WORKS
From a single question to a sourced answer
From a single sentence to a finished result, in seconds.
1
User asks a question
Type a question · attach files · pick a model
2
Spin up compute
Allocate GPU · multiple LLMs on standby
3
LLM reads intent
Detect intent · match language · lock key details
4
Plan & decide
Decide whether to search · choose tools autonomously
5
Gather sources
Web search · file parsing · chat history
6
LLM thinks & answers
Stream output · fuse sources · cite references
7
Deliver to user
Streamed answer · clickable sources · saved session
// WHO'S IT FOR
Who's it for
From small merchants to cross-border teams — every industry gets the job done with it.
Market research
Search the web and generate reports.
Document Q&A
Upload contracts and reports for interpretation.
Writing assistant
Copy, emails and translation.
Decision support
Weigh options through multi-round reasoning.
// IN THE WILD
Who's using AskAIs
From Alibaba and Shopify to API resellers — merchants on every platform use it.
Google Ads
Amazon“
I upload a pile of platform-policy PDFs and just ask — compliance checks went from two days to same-day.
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Hugging Face“
Deep research broke down our selection questions and delivered a cited report — saved us three rounds of outsourced research.
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GitHub
OpenAI“
For tech decisions it searches and compares on the fly; paste in the code context and it answers directly — way faster than digging through docs myself.
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OpenAI
Claude“
I run the same question through OpenAI and Claude to compare — so I know exactly what to recommend when clients pick a model.
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API Relay Platform · Operations · Taipei
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