作为一个大模型应用框架,LlamaIndex专为基于RAG的大型语言模型应用设计。它的主要目的是帮助用户将私有或特定领域的数据结构化,并安全、可靠地集成到语言模型中,以提高文本生成的准确性。LlamaIndex名字中的"Llama"象征着智能和负载能力,而"Index"表示其在数据索引和检索方面的功能。 2.1 主要特点 本质上,LlamaIndex是...
git clone https://github.com/oniharnantyo/lanchaingo-rag-golang cd lanchaingo-rag-golang Copy backend config: Run the Docker Compose setup: cd backend cp .env.example .env Start Services: Run the Docker Compose setup: docker-compose up -d Stopping Services: To stop the services, run:...
I'm Using llama3 8b model in my RAG architecture. Before upgrading lagchain model response are good. But after upgrading lanchain to 0.1.20 system prompts and context are getting repeated in the response. Response Screenshot: https://i.sstatic.net/cW7ARCkg.png Below is the...
#创作灵感 langchain+chatglm3使用增强检索生成(RAG)实现comfyui的ai小助手,无需训练,随时更新资料库,让ai小助手持续保持聪明。除此之外,把我们平时囤的各种资料分类塞给它,让它来管理我们的资料,需要的时候问他要 - Gary.W(乐皮ai)于20240402发布在抖音,已经收
LangChain being designed primarily to address RAG and Agent use cases, the scope of the pipeline here is reduced to the following text-centric tasks: `“text-generation"`, `“text2text-generation"`, `“summarization”`, `“translation”`. Models can be loaded directly with the `from_model...
LangChain 的设计主要是面向 RAG 和 Agent 应用场景,因此,在 Langchain 中流水线被简化为下面几个以文本为中心的任务: 文本生成、 文生文、 摘要、 翻译 等。 用户可以使用 from_model_id 方法直接加载模型: from langchain_huggingface import HuggingFacePipeline llm = HuggingFacePipeline.from_model_id( m...
LangChain being designed primarily to address RAG and Agent use cases, the scope of the pipeline here is reduced to the following text-centric tasks: “text-generation", “text2text-generation", “summarization”, “translation”. Models can be loaded directly with the from_model_id method:...