RAG use case
RAG use case
The rag use case uses candidate documents that are inserted into a LLM’s context to ground the generated response to those documents instead of generating an answer from details stored in the LLM’s trained weights. This type of search adds guardrails so the LLM can search private data collections.
The RAG search can perform queries against external documents passed in as part of the request.
POST
RAG use case
Documentation Index
Fetch the complete documentation index at: https://doc.lucidworks.com/llms.txt
Use this file to discover all available pages before exploring further.
Headers
Bearer token used for authentication. Format: Authorization: Bearer ACCESS_TOKEN.
application/json
Example:
"application/json"
Path Parameters
Unique identifier for the model.
Body
application/json
Response
200 - application/json
OK