Langchain is quickly becoming the de-facto standard for AI in the enterprise segment. Implementing Langchain at scale for enterprises requires a lot of experience and enterprise to keep the cost and timeline in check. We have partnered with some of the best consultants and implementation partners to help you deploy Langchain at your enterprise.
How to implement Langchain at your enterprise?
Implementing Langchain is not just following the Langchain Docs and deploying it on your infrastructure. You need to be able to consider a lot of factors like:
- Which model does your LangChain use?
- How to train your Langchain model?
- How to optimize and clean your data for the Langchain implementation?
- How to deploy Langchain on your infrastructure?
- How to monitor, maintain and upgrade Langchain models and infrastructure at scale?
These are just some of the questions that you need to answer before you can deploy Langchain at your enterprise. We have partnered with some of the best consultants and implementation partners to help you deploy Langchain at your enterprise.
Who are Langchain Implementation Partners
Though Langchain is new to the industry, it is one of the most promising AI platforms that can be used to build Langchain AI solutions for enterprise use-cases. However, Langchain is not a plug-and-play solution that can be implemented with just a few engineers.
When it comes to implementing a AI solution, it is important to understand the business use-case deeply, understand the data, and clearly know the direction in which you need to build out the AI solution. This could take a lot of time, and could be a costly affair if you are not experienced in building AI solutions.
To go from ideating a business use-case to solving it with Langchain based AI solution, you need to have a team of experts who can help you with the following:
- Understand the business use-case and the data that is available to solve the use-case.
- Understand the Langchain platform and the different models that can be used.
- Build, train, and optimize the AI model for the business use-case.
- Deploy the AI model on your infrastructure.
- Monitor, maintain, and upgrade the AI model and infrastructure.
Skcript has been implementing self-hosted Langchain models for enterprises, and the on-premise Langchain solutions have been a huge success. Our network of AI engineers, consultants, and cloud partners help our clients deploy Langchain on-premise and go live in weeks, not quarters.
If you are looking to implement Langchain at your enterprise, get in touch with us and we will help you get started right away.