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L

LangChain Cast

12/18/24

@ LangChain

We discovered database latency issues and open connections that were different from what we had seen before, indicating a significant problem.

Video

L

How We Built It: Character.AI - Fireside Chat with Harrison Chase & James Groeneveld

@ LangChain

How We Built It: Character.AI - Fireside Chat with Harrison Chase & James Groeneveld

12/18/24

Related Takeaways

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LangChain Cast

12/18/24

@ LangChain

By 11:00 a.m., we hypothesized that a bug in PostgreSQL, triggered by our query volume, was causing the issues we were experiencing.

L

LangChain Cast

12/18/24

@ LangChain

The database layer has been a critical challenge in scaling our product, leading to catastrophic issues that required immediate attention from our team.

L

LangChain Cast

12/18/24

@ LangChain

Scaling our service requires managing a large number of open connections, which puts pressure on our system components and necessitates lightweight connections.

L

LangChain Cast

12/18/24

@ LangChain

We faced unique challenges in scaling our platform, particularly with GPU local attention caching, which led to unexpected negative results during testing.

L

LangChain Cast

12/18/24

@ LangChain

Our architectural choices, such as multi-query attention, enabled us to control speed and latency more precisely without hurting user engagement.

L

LangChain Cast

12/18/24

@ LangChain

A bug in our caching system caused the model to respond as if it were talking to itself, leading to a significant drop in user satisfaction until we identified and fixed it.

L

LangChain Cast

12/18/24

@ LangChain

The bug in PostgreSQL led to a situation where transaction IDs were not being released properly, causing us to be unable to update records due to prior transaction IDs still being in use.

L

LangChain Cast

12/18/24

@ LangChain

We faced a critical situation where we had only 16 hours left of transaction IDs before we would need to take the database offline for a week to perform a full vacuum procedure.

a

a16z Cast

04/28/25

@ a16z

We have a software crisis with legacy systems that are faltering, leading to massive outages that are consequential to the entire industry.