From f0d4847946a5389dfd9cf9b1d6d214c6f054b680 Mon Sep 17 00:00:00 2001 From: debghs <145260557+debghs@users.noreply.github.com> Date: Wed, 18 Oct 2023 12:46:29 +0530 Subject: [PATCH] Update How-to-train-on-other-documentation.md --- .../How-to-train-on-other-documentation.md | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/docs/pages/Guides/How-to-train-on-other-documentation.md b/docs/pages/Guides/How-to-train-on-other-documentation.md index 2e8e4afa..aa1ff41d 100644 --- a/docs/pages/Guides/How-to-train-on-other-documentation.md +++ b/docs/pages/Guides/How-to-train-on-other-documentation.md @@ -12,28 +12,28 @@ It currently uses OPEN_AI to create the vector store, so make sure your document You can usually find documentation on Github in `docs/` folder for most open-source projects. ### 1. Find documentation in .rst/.md and create a folder with it in your scripts directory -- Name it `inputs/` -- Put all your .rst/.md files in there -- The search is recursive, so you don't need to flatten them +- Name it `inputs/`. +- Put all your .rst/.md files in there. +- The search is recursive, so you don't need to flatten them. -If there are no .rst/.md files just convert whatever you find to .txt and feed it. (don't forget to change the extension in script) +If there are no .rst/.md files just convert whatever you find to .txt file and feed it. (don't forget to change the extension in script) ### 2. Create .env file in `scripts/` folder And write your OpenAI API key inside -`OPENAI_API_KEY=` +`OPENAI_API_KEY=`. ### 3. Run scripts/ingest.py `python ingest.py ingest` -It will tell you how much it will cost +It will tell you how much it will cost. ### 4. Move `index.faiss` and `index.pkl` generated in `scripts/output` to `application/` folder. ### 5. Run web app -Once you run it will use new context that is relevant to your documentation -Make sure you select default in the dropdown in the UI +Once you run it will use new context that is relevant to your documentation. +Make sure you select default in the dropdown in the UI. ## Customization You can learn more about options while running ingest.py by running: