Apr 17, 2025 · Prompt vs. Query: While both prompts and queries serve to elicit responses from AI models, prompts are specifically crafted to guide the model's behavior, whereas queries typically seek information retrieval. This distinction is vital for optimizing AI interactions.

LlamaIndex uses prompts to build the index, do insertion, perform traversal during querying, and to synthesize the final answer. When building agentic workflows, building and managing prompts is a key part of the development process. LlamaIndex provides a flexible and powerful way to manage prompts, and to use them in a variety of ways.

Aug 20, 2023 · The Prompt Module, an integral part of the AI LLM framework, provides functionality that enables the creation of prompts, sending them to a specific model, and processing the received...

Mar 9, 2025 · We combined the Prompt module and LLM module to derive basic queries from natural language questions in the first place, followed by Multi-relation alignment module which identifies multiple candidate relations to generate several queries regarding to a single question.

A prompt engineering guide is as a practical resource for understanding how to craft effective prompts to interact with artificial intelligence (AI) models such as IBM® Granite®, Open AI’s GPT, DALL-E, Stable Diffusion, Anthropic’s Claude , Google‘s Bard and other generative systems. Prompt engineering is the process of designing and refining input instructions to …

Learn best practices and techniques for prompt engineering. Apply learned techniques to real examples, using an OpenAI endpoint. Prompt Engineering: The practice of designing and refining inputs to guide AI models toward producing desired outputs.

Definition: A prompt is typically a statement or question designed to elicit a specific response from the AI, often guiding it towards a particular topic or style. In contrast, a query is more straightforward, usually seeking factual information or clarification.

Apr 17, 2025 · Understanding the differences between AI prompts and queries is vital; while prompts are designed to elicit specific responses from the AI, queries often serve to retrieve information without the same level of guidance.

Apr 26, 2024 · Understanding these modules is crucial for harnessing the full potential of LangChain. This blog post will delve into the core modules of LangChain, exploring their functionalities and providing...

LlamaIndex contains a variety of higher-level modules (query engines, response synthesizers, retrievers, etc.), many of which make LLM calls + use prompt templates. This guide shows how you can 1) access the set of prompts for any module (including nested) with get_prompts, and 2) update these prompts easily with update_prompts.