Inspiration
Inspired by how perplexity makes our research faster, and how far can this be pushed? Can this be taken to private data sources like telegram channels.
Inspired by how AutoGPT breaks down a goal into subtasks and performs them sequentially. Inspired by how MemGPT incrementally refines the answer.
What it does
Enter any query and autosearch.lol breaks it down into subtasks, performs web and telegram vector databse seraches, then incrementally refines the answer until it comes to the best answer it can.
How we built it
Used Vannever Labs telegram data set, which is then vectorized in the supabase vector db. Then it is searched by the query agents. The agents also search Exa.
Challenges we ran into
Missing data in vannever data set
Accomplishments that we're proud of
It is live at autosearch.lol
What we learned
Parsing csv files.
What's next for autosearch.lol
Improve the prompting and do some marketing online.
Built With
- llama3
- nextjs
- vannever
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