Using Stripe Docs in your RAG pipeline with LlamaIndex

• stripe-docs-reader-demo

  1 4 5.2 Python

  A demo implementation of the StripeDocsReader LlamaIndex loader

Take a look at the code on GitHub.

• canopy

  13 873 9.8 Python

  Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone

  

In this post we’ll build a Python script that uses StripeDocs Reader, a loader on LlamaIndex, that creates vector embeddings of Stripe's documentation in Pinecone. This allows a user to ask questions about Stripe Docs to an LLM, in this case OpenAI, and receive a generated response.

• WorkOS

  workos.com sponsored

  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.

  

• OpenAI-DotNet

  30 575 7.9 C#

  A Non-Official OpenAI RESTful API Client for DotNet

  

In this post we’ll build a Python script that uses StripeDocs Reader, a loader on LlamaIndex, that creates vector embeddings of Stripe's documentation in Pinecone. This allows a user to ask questions about Stripe Docs to an LLM, in this case OpenAI, and receive a generated response.

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