HackChamp

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  this is the video screenshort .

Inspiration

Truly inspired by the hackathon title . It's beyond limits and the things it can do and create . The journey till now about this hackathon have inspired in variety of ways. building from scratch Till the refined project this hackathon marks the real inspiration.

What it does

It uses a data set opened in network X . further in Arango DB data set. We trained it accordingly using different packages also lang chain and made it capable of reasoning to AQL queries which are Generated when user asks a question about the data set.

How we built it

We literally build it from scratch . We're having no idea about Lang Chain and even many other concepts . Firstly we downloaded a data set. Loaded it in network x. Further proceeded to download it in Arango Database.. Further connected it with Lang Chain and Lang graph. Built an AQL query Which will answer the questions related to the graph present in my data set.

Challenges we ran into

Literally it was hard to train the model. I got stuck in when I was creating a tool in lang chain . Training it with different algorithms etc. It was pretty hard for me but still I Didn't stopped .

Accomplishments that we're proud of

I am proud of that i have reached till here. From literally zero knowledge About the concepts Present in Lang Chain , Arango Database , Cu-graph etc Till the building of an agentic app Which works on AQL queries . ## What we learned We learnt how to build an agentic app from scratch. Also learnt about network x , Arango database Lang chain etc

What's next for Hack Champ

The convergence of graph databases AI and natural language processing is poised to revolutionise knowledge discovery imagine a future where complex queries are answered effortlessly through intuitive interactions with interconnected data landscapes .We'll try to learn in more detail as well as We'll try to take our agentic app evolve to incorporate real time data streams enabling dynamic updates and productive insights based on evolving trends .

Built With

• adb-cloud-connector
• arangodb
• chatgmini
• cuda
• cugraph
• google
• google-api-key
• gpu
• graphrag
• langchain
• langchain-core.prompts
• langgraph
• matplotlib
• networkx
• pandas
• python
• toolkit
• vectorstores