langchain-aws 0.1.3

An integration package connecting AWS and LangChain

langchain-aws

This package contains the LangChain integrations with AWS.

Installation

pip install -U langchain-aws

All integrations in this package assume that you have the credentials setup to connect with AWS services.

Chat Models

ChatBedrock class exposes chat models from Bedrock.

from langchain_aws import ChatBedrock

llm = ChatBedrock()
llm.invoke("Sing a ballad of LangChain.")

Embeddings

BedrockEmbeddings class exposes embeddings from Bedrock.

from langchain_aws import BedrockEmbeddings

embeddings = BedrockEmbeddings()
embeddings.embed_query("What is the meaning of life?")

LLMs

BedrockLLM class exposes LLMs from Bedrock.

from langchain_aws import BedrockLLM

llm = BedrockLLM()
llm.invoke("The meaning of life is")

Retrievers

AmazonKendraRetriever class provides a retriever to connect with Amazon Kendra.

from langchain_aws import AmazonKendraRetriever

retriever = AmazonKendraRetriever(
    index_id="561be2b6d-9804c7e7-f6a0fbb8-5ccd350"
)

retriever.get_relevant_documents(query="What is the meaning of life?")

AmazonKnowledgeBasesRetriever class provides a retriever to connect with Amazon Knowledge Bases.

from langchain_aws import AmazonKnowledgeBasesRetriever

retriever = AmazonKnowledgeBasesRetriever(
    knowledge_base_id="IAPJ4QPUEU",
    retrieval_config={"vectorSearchConfiguration": {"numberOfResults": 4}},
)

retriever.get_relevant_documents(query="What is the meaning of life?")