vlkg

• 

  data enrichment

• 

  data extraction

Inspiration

wanted to communicate to and fro between leadership, investors, analysts and business

What it does

It depicts the picture of meta data about the speech from meetings , conferences and 1:1, 1:m

How we built it

using knowledge graph extracting entities from speech

Challenges we ran into

acquiring traits and characteristics data

Accomplishments that we're proud of

able to consiously use the technology to communicate in meetups and other projects like househunting etc

What we learned

now agent to agent communication is possible, need to collect what meta deterministics is required

What's next for vlkg

implement multiple agents performing highly divergent tactics with hindsight from human

Built With

• api
• gcp
• llm
• python