jyapayne/langflow
1
0
Fork 0
Code Issues Pull requests Projects Releases 1 Packages Wiki Activity Actions

Update component descriptions to reflect Playground instead of Interaction Panel

Browse source
This commit is contained in:
Gabriel Luiz Freitas Almeida 2024-05-02 13:50:01 -03:00
commit 0648e3f2ac
19 changed files with 147 additions and 94 deletions
Download patch file Download diff file Expand all files Collapse all files

12
docs/docs/getting-started/rag-with-astradb.mdx
View file

@ -130,18 +130,18 @@ And run it! This will ingest the Text data from your file into the Astra DB data
style={{ width: "80%", margin: "20px auto" }}
/>
Now, on to the **RAG Flow**. This flow is responsible for generating responses to your queries. It will define all of the steps from getting the User's input to generating a response and displaying it in the Interaction Panel.
Now, on to the **RAG Flow**. This flow is responsible for generating responses to your queries. It will define all of the steps from getting the User's input to generating a response and displaying it in the Playground.
The RAG flow is a bit more complex. It consists of:
- **Chat Input** component that defines where to put the user input coming from the Interaction Panel
- **Chat Input** component that defines where to put the user input coming from the Playground
- **OpenAI Embeddings** component that generates embeddings from the user input
- **Astra DB Search** component that retrieves the most relevant Records from the Astra DB database
- **Text Output** component that turns the Records into Text by concatenating them and also displays it in the Interaction Panel
- One interesting point you'll see here is that this component is named `Extracted Chunks`, and that is how it will appear in the Interaction Panel
- **Text Output** component that turns the Records into Text by concatenating them and also displays it in the Playground
- One interesting point you'll see here is that this component is named `Extracted Chunks`, and that is how it will appear in the Playground
- **Prompt** component that takes in the user input and the retrieved Records as text and builds a prompt for the OpenAI model
- **OpenAI** component that generates a response to the prompt
- **Chat Output** component that displays the response in the Interaction Panel
- **Chat Output** component that displays the response in the Playground
<ZoomableImage
alt="Docusaurus themed image"
@ -163,7 +163,7 @@ To run it all we have to do is click on the ⚡ _Run_ button and start interacti
style={{ width: "80%", margin: "20px auto" }}
/>
This opens the Interaction Panel where you can chat your data.
This opens the Playground where you can chat your data.
Because this flow has a **Chat Input** and a **Text Output** component, the Panel displays a chat input at the bottom and the Extracted Chunks section on the left.