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@unbias
This week: Run our own farcaster postgres server via neynar parquet files Custom indexes to speed up our few but unique queries Start populating pinecone 🙏
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mom pfp
mom
@mom
20000 $degen first 10k in - 50k is a full initial run on all trending thread history
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mom pfp
mom
@mom
so how this works: 1) summarize the most popular content of a thread and replies via a thread tree fed to gpt— the result is a summary used for searching 2) the reply chain is also embedding so replies can be searched pinecone semantic speed postgres query flexibility — duplicated embedding dbs (pinecone for embedding)
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mom pfp
mom
@mom
thread data after a certain period is saved to a nosql db for quick loading of historical but popular content
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