chains#
Chains module for langchain_community
This module contains the community chains.
Classes
Chain for question-answering against a graph by generating AQL statements. |
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Chain for question-answering against a graph. |
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Create new instance of Schema(left_node, relation, right_node) |
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Chain for question-answering against a graph by generating Cypher statements. |
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Chain for question-answering against a graph by generating gremlin statements. |
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Chain for question-answering against a graph by generating gremlin statements. |
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Question-answering against a graph by generating Cypher statements for Kùzu. |
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Chain for question-answering against a graph by generating Cypher statements. |
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Chain for question-answering against a graph by generating nGQL statements. |
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Chain for question-answering against a Neptune graph by generating openCypher statements. |
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Chain for question-answering against a Neptune graph by generating SPARQL statements. |
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Question-answering against Ontotext GraphDB |
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Question-answering against an RDF or OWL graph by generating SPARQL statements. |
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Chain that requests a URL and then uses an LLM to parse results. |
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Chain interacts with an OpenAPI endpoint using natural language. |
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Get the request parser. |
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Parse the request and error tags. |
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Get the response parser. |
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Parse the response and error tags. |
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Retrieval Chain with Identity & Semantic Enforcement for question-answering against a vector database. |
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Create a new model by parsing and validating input data from keyword arguments. |
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Class for an authorization context. |
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Create a new model by parsing and validating input data from keyword arguments. |
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Input for PebbloRetrievalQA chain. |
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Create a new model by parsing and validating input data from keyword arguments. |
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Langchain framework details |
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Create a new model by parsing and validating input data from keyword arguments. |
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Create a new model by parsing and validating input data from keyword arguments. |
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Create a new model by parsing and validating input data from keyword arguments. |
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Create a new model by parsing and validating input data from keyword arguments. |
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OS, language details |
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Class for a semantic context. |
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Class for a semantic entity filter. |
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Class for a semantic topic filter. |
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Create a new model by parsing and validating input data from keyword arguments. |
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Wrapper for Pebblo Retrieval API. |
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Routes available for the Pebblo API as enumerator. |
Functions
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Convert a Python function to an Ernie function-calling API compatible dict. |
Convert a raw function/class to an Ernie function. |
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[Legacy] Create an LLM chain that uses Ernie functions. |
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Create a runnable sequence that uses Ernie functions. |
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[Legacy] Create an LLMChain that uses an Ernie function to get a structured output. |
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Create a runnable that uses an Ernie function to get a structured output. |
Get the appropriate function output parser given the user functions. |
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Extract Cypher code from a text. |
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Extract Gremlin code from a text. |
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Extract Cypher code from a text. |
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Remove a prefix from a text. |
Extract Cypher code from a text. |
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Extract Cypher code from text using Regex. |
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Trim the query to only include Cypher keywords. |
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Decides whether to use the simple prompt |
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Extract SPARQL code from a text. |
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Clear the identity and semantic enforcement filters in the retriever search_kwargs. |
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Set identity and semantic enforcement filters in the retriever. |
Fetch local runtime ip address. |
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Fetch the current Framework and Runtime details. |
Deprecated classes
Deprecated functions