š Retrieval augmented generation (RAG) is a powerful tool within Nemo guard rails that utilizes a vector database and an embedding model.
ā”ļø The naive approach of RAG involves taking a query and embedding it to retrieve relevant information quickly.
š The more complex approach of RAG involves using an agent to process queries over time and access external tools.
š The video discusses the process of creating chatbots using an external knowledge tool and an embedding model.
ā³ The use of multiple LM Generations in the process makes it slower, but using guardrails allows for a more efficient approach.
š ļø Guardrails provide a middle ground solution that utilizes a different embedding model to create vector representations of queries.
š” The video discusses how to make RAG chatbots faster by using retrieval-based methods.
š A key technique is to check if a user query is semantically similar to predefined topics and trigger the retrieval tool if necessary.
š§ Multiple tools can be used to generate responses, and the unique approach of using guardrails allows for faster generation.
š The video discusses querying data from an open AI API to create embeddings and index them using Vex databases.
š§© The presenter demonstrates the process of creating unique IDs and selecting relevant fields from a dataset.
š» An API key from Pinecone is used to initialize a vector index and create the index if it doesn't already exist.
ā Initializing and populating the index with data.
š§ Creating rag pipelines with guardrails using executable functions.
š¬ Using prompt templates to generate responses and setting up guardrails criteria.
š Semantically embedded vectors are used to compare user queries and trigger specific flows.
š©āš» Retrieval augmented generation is used to create context-based answers.
š¤ Guardrails helps register actions and allows easy integration of functions.
š¤ Red teaming is a technique used to identify risks and measure the robustness of a model.
š Red teaming provides quality insights by recognizing and targeting specific patterns.
ā” Using guardrails allows for faster execution of tools that only need to be triggered.
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