A simple RAG example using Telnyx AI Inference
can be used to build a small Python example. The example stores a few documents in memory, creates , finds the context that matches a question, and uses that context to answer. The answer is produced through an .
The result also includes sources for the answer. Feedback is being sought on what would make the example easier to grow into a real app.
Key points
- The example is a small Python app.
- It stores documents in memory and retrieves matching context.
- It uses to find relevant material.
- It generates answers through an .
- It shows sources with the answer.