Q&A Using Vector Databases you own this product

prerequisites
basics of embeddings • basics of vector databases
skills learned
use LangChain for questions answering • create and populate a vector store with your own data
Pablo Elgueta
2-4 hours per week · BEGINNER
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In this liveProject, you'll join InfoHub, an AI startup disrupting corporate knowledge management. They aim to unlock a company’s knowledge base through conversational Q&A-style user interfaces that use breakthrough language models. You'll leverage LangChain, a framework optimized for integrating LLMs into apps, to integrate InfoHub's data, vector stores, and language models into a single solution. You’ll prepare your data, create a vector store to embed your documents, and then use LangChain to combine it with an LLM.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

prerequisites

This liveProject is for intermediate-level Python developers. No special tools are required—you can perform everything you need using a normal IDE or Jupyter Notebook.


TOOLS
  • Intermediate Python
  • Basics of pandas
  • Basics of the OpenAI API

TECHNIQUES
  • Basics of tokens
  • Basics of embeddings
  • Basics of LLMs

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