fromlangchain.promptsimportPromptTemplate# Build prompttemplate="""Use the following pieces of context to answer the question at the end.\If you don't know the answer, just say that you don't know, don't try to make up an answer.\Use three sentences maximum. Keep the answer as concise...
This notebook presents how to implement a Question Answering system with Langchain, AnalyticDB as a knowledge based and OpenAI embeddings. If you are not familiar with AnalyticDB, it’s better to check out the Getting_started_with_AnalyticDB_and_OpenAI.ipynb notebook. This notebook presents an ...
LANGCHAIN is the framework for developing end-to-end applications for LLMs. FAIRSEQ is a deep learning model used for TEXT-TO-SPEECH Conversion. The FAIRSEQ model helps to train custom models for translation, summarization, language models, and other text generation tasks. This model can enhance...
In this example we create a large-language-model (LLM) powered question answering web endpoint and CLI. Only a single document is used as the knowledge-base of the application, the 2022 USA State of the Union address by President Joe Biden. However, this same application structure could be ...
LangChain Q&A LangChain is an open-source tool that wraps around many large language models (LLMs) and tools. It is the easiest way (if not one of the easiest ways) to interact with LLMs and build applications around LLMs. LangChain makes it easy to perform question-answering of those...
we showed how to enhance the performance of Llama 2 7b chat in a question answering use case using LangChain, the BGE embeddings model, and Pinecone. To get started, launch SageMaker Studio and run thenotebookavailable in th...
此外，我们增强了LLMs的文档检索能力。我们利用向量数据库 [30] 和 LangChain [15] 等技术，有助于...
A simple Chainlit app for generative question-answering with LangChain and OpenAI. LangChainis an open-source framework created to aid the development of applications leveraging the power of large language models (LLMs).Chainlit, on the other hand, is an open-source Python package that makes ...
How_to_build_a_tool-using_agent_with_Langchain.ipynb How_to_build_an_agent_with_the_node_sdk.mdx How_to_call_functions_for_knowledge_retrieval.ipynb How_to_call_functions_with_chat_models.ipynb How_to_combine_GPT4o_with_RAG_Outfit_Assistant.ipynb ...
This action helps in answering the specified question using your knowledge base in your project. You can give this query for generating answer from your “Sample-project” Learn more about the request body from here: Question Answering - Get Answers - REST API (Azure Cognitive Services) | ...