langchain-aws: 0.2.2#
agents#
Classes
AgentAction with session id information. |
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AgentFinish with session id information. |
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Invoke a Bedrock Agent |
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Functions
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Construct the boto3 session |
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Parses the raw response from Bedrock Agent |
chat_models#
Classes
A chat model that uses the Bedrock API. |
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Adapter class to prepare the inputs from Langchain to prompt format that Chat model expects. |
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Bedrock chat model integration built on the Bedrock converse API. |
Functions
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Format a list of messages into a full prompt for the Anthropic model |
Convert a list of messages to a prompt for llama. |
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Convert a list of messages to a prompt for llama. |
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Convert a list of messages to a prompt for mistral. |
embeddings#
Classes
Bedrock embedding models. |
function_calling#
Classes
Representation of a callable function to send to an LLM. |
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Representation of a callable function to the OpenAI API. |
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Functions
graphs#
Classes
Neptune Analytics wrapper for graph operations. |
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Neptune wrapper for graph operations. |
Exception for the Neptune queries. |
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Neptune wrapper for RDF graph operations. |
llms#
Classes
Base class for Bedrock models. |
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Bedrock models. |
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Adapter class to prepare the inputs from Langchain to a format that LLM model expects. |
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A handler class to transform input from LLM to a format that SageMaker endpoint expects. |
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Content handler for LLM class. |
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A helper class for parsing the byte stream input. |
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Sagemaker Inference Endpoint models. |
Functions
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Cut off the text as soon as any stop words occur. |
retrievers#
Classes
Amazon Bedrock Knowledge Bases retrieval. |
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Configuration for retrieval. |
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Filter configuration for retrieval. |
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Configuration for vector search. |
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Additional result attribute. |
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Value of an additional result attribute. |
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Amazon Kendra Index retriever. |
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Document attribute. |
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Value of a document attribute. |
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Information that highlights the keywords in the excerpt. |
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Amazon Kendra Query API search result. |
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Query API result item. |
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Base class of a result item. |
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Amazon Kendra Retrieve API search result. |
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Retrieve API result item. |
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Text with highlights. |
Functions
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Clean an excerpt from Kendra. |
Combine a ResultItem title and excerpt into a single string. |
utilities#
Classes
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Escape punctuation within an input string. |
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Enumerator of the Distance strategies for calculating distances between vectors. |
Functions
Row-wise cosine similarity between two equal-width matrices. |
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Row-wise cosine similarity with optional top-k and score threshold filtering. |
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Get a redis client from the connection url given. |
Filter out metadata types that are not supported for a vector store. |
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Calculate maximal marginal relevance. |
utils#
Functions
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Cut off the text as soon as any stop words occur. |
Get the number of tokens in a string of text. |
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Get the token ids for a string of text. |
vectorstores#
Classes
InMemoryVectorStore vector database. |
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Retriever for InMemoryVectorStore. |
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Collection of InMemoryDBFilterFields. |
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Logical expression of InMemoryDBFilterFields. |
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Base class for InMemoryDBFilterFields. |
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InMemoryDBFilterOperator enumerator is used to create InMemoryDBFilterExpressions |
InMemoryDBFilterField representing a numeric field in a InMemoryDB index. |
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InMemoryDBFilterField representing a tag in a InMemoryDB index. |
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InMemoryDBFilterField representing a text field in a InMemoryDB index. |
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Schema for flat vector fields in Redis. |
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Schema for HNSW vector fields in Redis. |
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Distance metrics for Redis vector fields. |
Base class for Redis fields. |
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Schema for MemoryDB index. |
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Base class for Redis vector fields. |
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Schema for numeric fields in Redis. |
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Schema for tag fields in Redis. |
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Schema for text fields in Redis. |
Functions
Check if MemoryDB index exists. |
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Decorator to check for misuse of equality operators. |
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Read in the index schema from a dict or yaml file. |