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