🦜🔗 Track Package Delivery w. Langchain Agent Custom Tools

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☝️ About

Big enteprises build Strategic Plans to project themselves into the future.

OPT-NC makes no exception and has recently designed its own called "Construire demain":

Plan stratégique | OPT-NC

L’OPT-NC a présenté l’élaboration du plan stratégique CONSTRUIRE DEMAIN | OPT 2025 à son conseil d’administration le 16 novembre 2021. Un choix d’orientation a été fait à cette occasion, soutenu par des échanges préalables au gouvernement de la Nouvelle-Calédonie et par de multiples contributions de personnalités politiques, économiques et sociales dans le pays.

office.opt.nc

A strategic plan may have a lot (maybe plenty) of points... and in the mean time should be resumable into a very few keypoints -let's say 3 -,

so anyone can understand and talk about the big picture with ease.

👉 With this post, we'll dive into a journey where, with the help of various AI driven tools, we will:

📚 Chat with the plan itself
🤔 Imagine a near future
💡 Pitch an idea
🗣️ Explain & Implement the idea
🕹️ Play with the prototype
🎯 Loop back on strategic plan to how it fits
🔭 Think about other opportunities

💭 About Chatbots & Primary Customer Service

Below some context about ChatBot based service, good to knonw before delivering such services in production:

🧰 Tools

We will use many tools here:

🧠 Quivr as "the brain" of the Strategic Plan, which holds the knowledge of what the plan we have stored in
🦾 OpenAI : the API that will give us the LLM, the engine that will "do the job"
🤖 ChatGPT : for casual question or little explanations (eg. "What's a LLM ?")
🦜🔗 Langchain : the framework, the "glue" we will use to interact with the LLM
😽 Kor : A tool to extract structured data out raw unstructured text

🎯 What we'll do

In this demo, we'll see how to build very custom tools (add our very own ones) to achieve specific customer-centric tasks... but operated by autonomous AI-driven agent.

At the end, we'll get a kind of connected chatGPT.