借助 LlamaIndex 的响应评估模块,您可以实验各种大小,并基于具体数据做出决策。在构建 RAG 系统时,请始终记住,chunk_size 是一个关键参数。请投入时间来仔细评估和调整您的 chunk_size,以获得最有价值的结果。 参考链接: Jupter Notebook:github.com/mcks2000/llm LlamaIndex:docs.llama
Llamaindex通过generate_question_context_pairs函数在现有文本语料库上提供合成数据集生成。使用大模型根据每个上下文块自动生成问题,可以参阅:docs.llamaindex.ai/en/s。 这里,我们使用Zephr-7B在现有的文本语料库上构建一个简单的评估数据集,返回的结果是一个EmbeddingQAFinetuneDataset对象(包含queries、relevant_docs和...
It showcases the integration of LlamaIndex, NVIDIA NeMo Guardrails, and other advanced technologies to create a powerful and safe AI tool recommendation system. Features RAG-based information retrieval for AI tools Document indexing using LlamaIndex Vector storage with pgvector FastAPI-powered API for...
Using a full Linux OS? Check out the equivalent notebooks in this repository:https://github.com/marklysze/LlamaIndex-RAG-Linux-CUDA Interested in LangChain? Check out this repository which shows RAG with LangChain:https://github.com/marklysze/LangChain-RAG-Linux ...
应用集成(Application integrations):将LlamaIndex重新整合回你的整个生态系统中。这可能是LangChain、Flask、Docker、ChatGPT或者……其他任何东西! 参考链接: https://github.com/run-llama/llama_index 回到顶部(go to top) 二、LlamaIndex解决了什么问题 ...
8.Prompt flow - Tune the prompt:Here is the prompt we used to make the answer as short as possible which aligns with the ground_truth answers we are using. system:You are an AI assistantthathelps users answer questions basedona specific context. ...
Barnett等人的论文《Seven Failure Points When Engineering a Retrieval Augmented Generation System》介绍了RAG的七个痛点,我们将其延申扩展再补充开发RAG流程中常遇到的另外五个常见问题。并且将深入研究这些RAG痛点的解决方案,这样我们能够更好地在日常的RAG开发中避免和解决这些痛点。
Choose your preferred embedding and generation model from Amazon Bedrock using the LlamaIndex SDK: llm=Bedrock(model="anthropic.claude-v2")embed_model=BedrockEmbedding(model="amazon.titan-embed-text-v1") Implement an advanced RAG pattern using LlamaIndex. In the following example, we useSubQues...
How to build an end-to-end RAG system with MongoDB, LlamaIndex, and OpenAI What is an AI stack? This tutorial will implement an end-to-end RAG system using the OLM (OpenAI, LlamaIndex, and MongoDB) or POLM (Python, OpenAI, LlamaIndex, MongoDB) AI Stack. The AI stack, or G...
A RAG pipeline is a system that uses external data to augment the input of a large language model (LLM) for tasks such as question answering, summarization, or dialogue.RAG evaluationis the process of measuring and improving the performance of this RAG pipeline.Some ...