Discussion: Biggest Roadblocks to Deploy LLMs to Production

This page summarizes the projects mentioned and recommended in the original post on /r/LangChain

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  • zep

    Zep: Long-Term Memory for ‍AI Assistants.

  • You may want to take a look at Zep, which supports stateless agents by storing messages out of process (in a memory store). It does a bunch of other things, too, such as summarizing, entity extraction, vector search over historical memory. Disclosure: I’m a coauthor. https://github.com/getzep/zep

  • local_llama

    This repo is to showcase how you can run a model locally and offline, free of OpenAI dependencies.

  • I work with AWS daily, terraform, Python and java creating and maintaining enterprise solutions. I have played with sagemaker but it is so expensive I hate to leave it up for longer than a day. I downloaded and created a chat with your docs (entirely in airplane mode) here point being that I’ve hosted models both locally and in the cloud. But just ended up sticking to API calls as it’s so cheap

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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