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# What does this PR do? This PR makes it possible to switch between agentic and non-agentic RAG when running the respective Playground page. When non-agentic RAG is selected, user queries are answered by directly querying the vector DB, augmenting the prompt, and sending the extended prompt to the model via Inference API. ## Test Plan - Launch the Playground and go to the RAG page; - Select the vector DB ID; - Adjust other configuration parameters if necessary; - Set the radio button to Agent-based RAG; - Send a message to the chat; - The query will be answered by an agent using the knowledge search tool as indicated by the output; - Click the 'Clear Chat' button to make it possible to switch modes; - Send a message to the chat again; - This time, the query will be answered by the model directly as can be deduced from the reply. |
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| .. | ||
| routers | ||
| server | ||
| store | ||
| ui | ||
| utils | ||
| __init__.py | ||
| access_control.py | ||
| build.py | ||
| build_conda_env.sh | ||
| build_container.sh | ||
| build_venv.sh | ||
| client.py | ||
| common.sh | ||
| configure.py | ||
| datatypes.py | ||
| distribution.py | ||
| inspect.py | ||
| library_client.py | ||
| providers.py | ||
| request_headers.py | ||
| resolver.py | ||
| stack.py | ||
| start_stack.sh | ||