【可能是全网最丝滑的LangChain教程】二、LangChain安装 - 简书 (jianshu.com) 【可能是全网最丝滑的LangChain教程】三、快速入门LLMChain - 简书 (jianshu.com) 【可能是全网最丝滑的LangChain教程】四、快速入门Retrieval Chain - 简书 (jianshu.com) 使用LangChain构建应用 LangChain支持构建应用程序,将外部...
When ConversationalRetrievalChain uses the default value for memory, code runs as intended. If ConversationalRetrievalChain is used with memory and source documents are to be returned, the code fails since chat_memory.py (https://github.com/langchain-ai/langchain/blame/master/libs/langchain/lang...
Issue you'd like to raise. what is the difference between a conversationChain and a conversationalRetrieval chain. I had originially assumed that the conversational retrieval chain would be able to take in documents, input, and memory (w...
{ ConversationalRetrievalQAChain } from "langchain/chains"; const model = new OpenAI({openAIApiKey: 'sk-...', modelName: 'gpt-3.5-turbo'}); const text = fs.readFileSync(path.resolve(__dirname, './data.txt'), 'utf-8'); const textSplitter = new RecursiveCharacterTextSplitter({ ...
我在langchain中使用以下方法。ChatOpenAI在langchain中的简单用例。
我在langchain中使用以下方法。ChatOpenAI在langchain中的简单用例。
(OCI), telles que les actions rapides et le déploiement de modèles avec IA, Mistral-7B-Instruct-v0.2, Oracle Database 23ai, LangChain et Oracle Digital Assistant. Chacune de ces technologies apporte des forces uniques à la table, ce qui nous permet de créer un agent conversationnel ...
This paper presents a technical procedure and coding details that leverage Retrieval-augmented Generation (RAG), Large Language Models (LLMs), embeddings, and LangChain to develop an AI-enhanced conversation application tailored for communication with open repository systems, specifically focusing on ...
Ajouter une source de vérité pendant la phase de prédiction(Retrieval-Augmented Generation, RAG) : il s'agit d'un changement majeur dans la manière dont l'agent conversationnel utilise le LLM sous-jacent. L'idée est d'ajouter au prompt de l'utilisateur des informations qui viennent d'une...
SK:Can you provide an example of how Chroma’s embedding-based document retrieval has been beneficial for developers? JH:Certainly, hundreds of thousands of developers have used Chroma to build everything from a small experiment with LangChain at a hackathon to complex research project...