How do you construct, compact, and query a full-text search index when all your durable data lives in object storage? And where every GET costs 50–100ms?
@ankush_gola11 + team on how we built and run SmithDB's inverted index in production. https://www.langchain.com/blog/full-text-search-in-smithdb-constructing-and-querying-our-inverted-index-pt-2
Negative users dismissed LangChain's SmithDB inverted index as yet another unoriginal database built for agents.
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Technical blog on how we built SmithDB (our database purpose built for agent traces)
How do you construct, compact, and query a full-text search index when all your durable data lives in object storage? And where every GET costs 50–100ms?
@ankush_gola11 + team on how we built and run SmithDB's inverted index in production. https://www.langchain.com/blog/full-text-search-in-smithdb-constructing-and-querying-our-inverted-index-pt-2
@ankush_gola11 Missed Part 1?
Here’s how we built a custom inverted index from scratch for SmithDB.
https://www.langchain.com/blog/full-text-search-in-smithdb-designing-an-inverted-index-for-object-storage
@hwchase17 Another day, another DB built for agents. Seen it all before.