I searched the LangChain documentation with the integrated search. I used the GitHub search to find a similar question and didn't find it. I am sure that this is a bug in LangChain rather than my code. The bug i
Checklist I added a very descriptive title to this issue. I included a link to the documentation page I am referring to (if applicable). Issue with current documentation: here (i don't know where the source for this is): https://v03.api...
key, use_ssl=use_ssl)document = file_loader.load()Python Langchain 示例 - S3 文件加载程序Langchain S3 目录加载程序：from langchain_community.document_loaders.s3_directory import S3DirectoryLoader# Initialize and load documentsdirectory_loader = S3DirectoryLoader( bucket='web-documentation', ...
Autonomous AI Agents with Next.js, Langchain and OpenAI This example uses the OpenAI Functions agent, but there are a few other options you can try as well. Seethis documentation page for more details. Retrieval Augmented Generation Retrieval Augmented Generation (RAG) combines the power of large...
An LLM agent in Langchain has many configurable components, which are detailed in the Langchain documentation. We'll employ a few of the core concepts to make an agent that talks in the way we want, can use tools to answer questions, and uses the appropriate language model to power the ...
EMBEDDING_DEPLOYMENT_NAME,model=OPENAI_ADA_EMBEDDING_MODEL_NAME,openai_api_base=OPENAI_DEPLOYMENT_ENDPOINT,openai_api_type="azure",chunk_size=1)# Initialize gpt-35-turbo and our embedding model#load the faiss vector store we saved into memoryvectorStore=FAISS.load_local...
This notebook provides a quick overview for getting started with OpenAIchat models. For detailed documentation of all ChatOpenAI features and configurations head to theAPI reference. OpenAI has several chat models. You can find information about their latest models and their costs, context windows, ...
Using the APIs from OpenAI and the langchain project, it is quite easy to implement a bot that is fed with your documentation and other product information. The answers of the bot are then specific for the trained knowledge domain. Background on the used
from langchain_community.document_loaders.s3_directoryimportS3DirectoryLoader # Initialize and load documents directory_loader=S3DirectoryLoader(bucket='web-documentation',prefix='',endpoint_url=f'http{"s" if use_ssl else ""}://{endpoint}',aws_access_key_id=access_key,aws_secret_access_key=sec...
This will help you get started with OpenAI embedding models using LangChain. For detailed documentation on OpenAIEmbeddings features and configuration options, please refer to the API reference.OverviewIntegration detailsProviderPackage OpenAI langchain-openai...