0 -0.000705716302046665 -0.000705716302046665 -0.000449092192211414 0.00211714890613981 0.00179636876884584 6.41560274587214E-05 0.00179636876884584
Thanks for submitting the form.
Stockreport

VCs are obsessed with vector databases. Here are seven AI startups in the space that have raised millions from investors. [Business Insider]

Alphabet Inc. - Class C Capital Stock (GOOG)  More Company Research Source: Business Insider
Last alphabet inc. - class c capital stock earnings: 4/28 04:02 pm Check Earnings Report
US:NASDAQ Investor Relations: abc.xyz/investor
Business Insider has idenfied seven vector database startups that have been early winners. Vector databases don't get as much love as their flashier counterparts, large language models (LLMs). But the startups building them are still crucial to the current AI revolution, and investors are eager to back the next big thing — to the tune of hundreds of millions of dollars. Text, images, and videos are all examples of unstructured data. Vector databases capture and store the essence of a particular piece of data that a machine-learning program or LLM can then pull from. Without a vector database, which can efficiently catalog vast amounts of unstructured data by their actual content, LLMs would have to rely on a human-generated tag or label when parsing through documents and data. "You literally cannot use OpenAI on its own," explained Tim Tully, a partner at Menlo Ventures . "You have to have a vector database because something has to push context into the query to OpenAI. And w [Read more]

IMPACT SNAPSHOT EVENT TIME: GOOG
Last Price
Price Change
Price Change %
Volume Shares
Max Up
Max Down
Volume Ratio
%
Performance comparison Updated
EVENT DAY
Stock performance from the time of news release until the following 4pm ET market close
LAST
PRICE AT
NEWS EVENT
SINCE EVENT
Multi-day stock performance from the time of the news release
EVENT DAY
Stock performance from the time of news release until the following 4pm ET market close
LAST
PRICE AT
NEWS EVENT
SINCE EVENT
Multi-day stock performance from the time of the news release
LAST PRICE
VWAP
High:
MAX UP
High:
Low:
MAX DOWN
Low:
%
POST NEWS RANGE
%
PRICE CHANGE

PRICE CHANGE PERCENTAGE


S&P 500 (SPX)

%

VOLUME RATIO
%

VOLUME (SHARES)
TICKS

AVG SHARES PER TRADE

Don't Miss Out On The Next BIG Stock Move
EVENT DAY
Event Day Chart will not be displayed beyond 90-day period of the event
PERFORMANCE SINCE EVENT
TIME AND VELOCITY ANALYSIS
Stockreport

VCs are obsessed with vector databases. Here are seven AI startups in the space that have raised millions from investors. [Business Insider]

Alphabet Inc. - Class C Capital Stock  (GOOG) 
Last alphabet inc. - class c capital stock earnings: 4/28 04:02 pm Check Earnings Report
US:NASDAQ Investor Relations: abc.xyz/investor
Business Insider has idenfied seven vector database startups that have been early winners. Vector databases don't get as much love as their flashier counterparts, large language models (LLMs). But the startups building them are still crucial to the current AI revolution, and investors are eager to back the next big thing — to the tune of hundreds of millions of dollars. Text, images, and videos are all examples of unstructured data. Vector databases capture and store the essence of a particular piece of data that a machine-learning program or LLM can then pull from. Without a vector database, which can efficiently catalog vast amounts of unstructured data by their actual content, LLMs would have to rely on a human-generated tag or label when parsing through documents and data. "You literally cannot use OpenAI on its own," explained Tim Tully, a partner at Menlo Ventures . "You have to have a vector database because something has to push context into the query to OpenAI. And w [Read more]

IMPACT SNAPSHOT
EVENT TIME:
GOOG
Last Price
Price Change
Price Change %
Volume Shares
Max Up
Max Down
Volume Ratio
%
Don't Miss Out On The Next BIG Stock Move
Performance comparison Updated
EVENT DAY
Stock performance from the time of news release until the following 4pm ET market close
LAST PRICE AT
NEWS EVENT
SINCE EVENT
Multi-day stock performance from the time of the news release
LAST PRICE
VWAP
High:
MAX UP
High:
Low:
MAX DOWN
Low:
%
POST NEWS RANGE
%
PRICE CHANGE

PRICE CHANGE PERCENTAGE


S&P 500 (SPX)

%

VOLUME RATIO
%

VOLUME (SHARES)
TICKS

AVG SHARES PER TRADE

EVENT DAY
Event Day Chart will not be displayed beyond 90-day period of the event
PERFORMANCE SINCE EVENT
TIME AND VELOCITY ANALYSIS