118 lines
3.6 KiB
Plaintext
118 lines
3.6 KiB
Plaintext
# Small Quiz (ungraded) [[quiz1]]
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So far we've discussed the key components and tools used in LlamaIndex.
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It's time to make a short quiz, since **testing yourself** is the best way to learn and [to avoid the illusion of competence](https://www.coursera.org/lecture/learning-how-to-learn/illusions-of-competence-BuFzf).
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This will help you find **where you need to reinforce your knowledge**.
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This is an optional quiz and it's not graded.
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### Q1: What is a QueryEngine?
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Which of the following best describes a QueryEngine component?
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<Question
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choices={[
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{
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text: "A system that only processes static text without any retrieval capabilities.",
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explain: "A QueryEngine must be able to retrieve and process relevant information.",
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},
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{
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text: "A component that finds and retrieves relevant information as part of the RAG process.",
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explain: "This captures the core purpose of a QueryEngine component.",
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correct: true
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},
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{
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text: "A tool that only stores vector embeddings without search functionality.",
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explain: "A QueryEngine does more than just store embeddings - it actively searches and retrieves information.",
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},
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{
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text: "A component that only evaluates response quality.",
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explain: "Evaluation is separate from the QueryEngine's main retrieval purpose.",
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}
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]}
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/>
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---
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### Q2: What is the Purpose of FunctionTools?
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Why are FunctionTools important for an Agent?
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<Question
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choices={[
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{
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text: "To handle large amounts of data storage.",
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explain: "FunctionTools are not primarily for data storage.",
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},
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{
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text: "To convert Python functions into tools that an agent can use.",
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explain: "FunctionTools wrap Python functions to make them accessible to agents.",
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correct: true
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},
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{
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text: "To allow agents to create random functions definitions.",
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explain: "FunctionTools serve the specific purpose of making functions available to agents.",
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},
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{
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text: "To only process text data.",
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explain: "FunctionTools can work with various types of functions, not just text processing.",
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}
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]}
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/>
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---
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### Q3: What are Toolspecs in LlamaIndex?
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What is the main purpose of Toolspecs?
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<Question
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choices={[
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{
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text: "They are redundant components that don't add functionality.",
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explain: "Toolspecs serve an important purpose in the LlamaIndex ecosystem.",
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},
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{
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text: "They are sets of community-created tools that extend agent capabilities.",
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explain: "Toolspecs allow the community to share and reuse tools.",
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correct: true
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},
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{
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text: "They are used solely for memory management.",
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explain: "Toolspecs are about providing tools, not managing memory.",
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},
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{
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text: "They only work with text processing.",
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explain: "Toolspecs can include various types of tools, not just text processing.",
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}
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]}
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/>
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---
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### Q4: What is Required to create a tool?
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What information must be included when creating a tool?
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<Question
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choices={[
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{
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text: "A function, a name, and description must be defined.",
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explain: "While these all make up a tool, the name and description can be parsed from the function and docstring.",
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},
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{
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text: "Only the name is required.",
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explain: "A function and description/docstring is also required for proper tool documentation.",
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},
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{
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text: "Only the description is required.",
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explain: "A function is required so that we have code to run when an agent selects a tool",
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},
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{
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text: "Only the function is required.",
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explain: "The name and description default to the name and docstring from the provided function",
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correct: true
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}
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]}
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/>
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---
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Congrats on finishing this Quiz 🥳, if you missed some elements, take time to read again the chapter to reinforce your knowledge. If you pass it, you're ready to dive deeper into building with these components!
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