rag_from_scratch_5_to_9.ipynb Repository files navigation README RAG From Scratch LLMs are trained on a large but fixed corpus of data, limiting their ability to reason about private or recent information. Fine-tuning is one way to mitigate this, but is often not well-suited for facutal...
RAG From Scratch Retrieval augmented generation (RAG) comes is a general methodology for connecting LLMs with external data sources. These notebooks builds up an understanding of RAG from scratch, starting with the basics of indexing, retrieval, and generation. About...
· https://docs.llamaindex.ai/en/stable/examples/query_transformations/HyDEQueryTransformDemo/#failure-case-1-hyde-may-mislead-when-query-can-be-mis-interpreted-without-context · https://github.com/langchain-ai/rag-from-scratch Step-back prompting Step-back prompting 技术旨在提高 LLM 进行抽象推...
如果实践中大模型在输出json格式中稳定性不足,个人推荐使用outlines框架(github.com/outlines-dev),它实现确保json mode的结构化输出的底层逻辑可以理解为是一种“约束解码”,准确地说是底层基于有限状态机(FSM)的“约束格式”(对齐模版的正则表达式)的解码,其于生成过程中每一步都检测生成后的文本是否对齐该正则表达...
from langchain_openai import ChatOpenAI,OpenAIEmbeddings# Two prompts physics_template = """You are a very smart physics professor. \ You are great at answering questions about physics in a concise and easy to understand manner. \ When you don't know the answer to a question you admit that...
1from langchain.utils.math import cosine_similarity 2from langchain_core.output_parsers import StrOutputParser 3from langchain_core.prompts import PromptTemplate 4from langchain_core.runnables import RunnableLambda, RunnablePassthrough 5from langchain_openai import ChatOpenAI, OpenAIEmbeddings ...
1from langchain_community.document_loadersimport WebBaseLoader2from langchain_text_splittersimport RecursiveCharacterTextSplitter34loader= WebBaseLoader("https://lilianweng.github.io/posts/2023-06-23-agent/")5docs= loader.load()67loader= WebBaseLoader("https://lilianweng.github.io/posts/2024-02-...
代码:RAPTOR的源代码将在GitHub上公开。 数据集:实验中使用了NarrativeQA、QASPER和QuALITY等问答数据集。 参考视频:https://www.youtube.com/watch?v=jbGchdTL7d0 Self-RAG 论文地址:https://arxiv.org/pdf/2310.11511 SELF-RAG(自反思检索增强生成)是一种新框架,通过让语言模型在生成过程中进行自我...
https://github.com/ganeshnehru/RAG-Multi-Modal-Generative-AI-Agent/tree/main router -> each agents. A multimodal RAG-based generative AI digital assistant that combines text generation, vision QA, and code generation. Generative-AI-Digital-Assistant-w-RAG (Agent-Nesh 🤖) ...
2018). The advantage of these approaches is that few parameters need to be learned from scratch. At least partly due to this advantage, OpenAI GPT (Radford et al., 2018) achieved pre- viously state-of-the-art results on many sentence- level tasks from the GLUE benchmark (Wang language ...