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Using LangChain.js to retrieve YouTube documents, store them in Weaviate as vectors and then have a contextual QA chain with them.

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julianduque/platziconf-langchain-demo

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PlatziConf LangChain Demo

Using LangChain.js to retrieve YouTube documents, store them in Weaviate as vectors and then have a contextual QA chain with them.

Requisites

  • Node.js LTS
  • OpenAI API Key
  • Weaviate Account or Local instance

Install

npm install

Load Documents

node load-docs.js

Run demo

node demo-stuff.js

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Using LangChain.js to retrieve YouTube documents, store them in Weaviate as vectors and then have a contextual QA chain with them.

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