Skip to main contentü¶úÔ∏èüîó LangChainDocsUse casesIntegrationsAPICommunityChat our docsLangSmithJS/TS DocsSearchCTRLKProvidersAnthropicAWSGoogleMicrosoftOpenAIMoreComponentsLLMsChat modelsDocument loadersDocument transformersText embedding modelsVector storesRetrieversToolsAgents and toolkitsMemoryAWS DynamoDBCassandramemoryMomento CacheMongodDBMot√∂rheadPostgresRedisRemembrallRocksetSingleStoreDBSQL (SQLAlchemy)SQLiteStreamlitUpstash Redis Chat Message HistoryXataZepCallbacksChat loadersComponentsMemorySQLiteSQLiteSQLite is a database engine written in the C programming language. It is not a standalone app; rather, it is a library that software developers embed in their apps. As such, it belongs to the family of embedded databases. It is the most widely deployed database engine, as it is used by several of the top web browsers, operating systems, mobile phones, and other embedded systems.In this walkthrough we'll create a simple conversation chain which uses ConversationEntityMemory backed by a SqliteEntityStore.#!pip install sqlite3from langchain.chains import ConversationChainfrom langchain.llms import OpenAIfrom langchain.memory import ConversationEntityMemoryfrom langchain.memory.entity import SQLiteEntityStorefrom langchain.memory.prompt import ENTITY_MEMORY_CONVERSATION_TEMPLATEentity_store = SQLiteEntityStore()llm = OpenAI(temperature=0)memory = ConversationEntityMemory(llm=llm, entity_store=entity_store)conversation = ConversationChain(    llm=llm,    prompt=ENTITY_MEMORY_CONVERSATION_TEMPLATE,    memory=memory,    verbose=True,)Notice the usage of EntitySqliteStore as parameter to entity_store on the memory property.conversation.run("Deven & Sam are working on a hackathon project")            > Entering new ConversationChain chain...    Prompt after formatting:    You are an assistant to a human, powered by a large language model trained by OpenAI.        You are designed to be able to assist with a wide range of tasks, from answering simple questions
SQLite is a database engine written in the C programming language. It is not a standalone app; rather, it is a library that software developers embed in their apps. As such, it belongs to the family of embedded databases. It is the most widely deployed database engine, as it is used by several of the top web browsers, operating systems, mobile phones, and other embedded systems.
SQLite is a database engine written in the C programming language. It is not a standalone app; rather, it is a library that software developers embed in their apps. As such, it belongs to the family of embedded databases. It is the most widely deployed database engine, as it is used by several of the top web browsers, operating systems, mobile phones, and other embedded systems. ->: Skip to main contentü¶úÔ∏èüîó LangChainDocsUse casesIntegrationsAPICommunityChat our docsLangSmithJS/TS DocsSearchCTRLKProvidersAnthropicAWSGoogleMicrosoftOpenAIMoreComponentsLLMsChat modelsDocument loadersDocument transformersText embedding modelsVector storesRetrieversToolsAgents and toolkitsMemoryAWS DynamoDBCassandramemoryMomento CacheMongodDBMot√∂rheadPostgresRedisRemembrallRocksetSingleStoreDBSQL (SQLAlchemy)SQLiteStreamlitUpstash Redis Chat Message HistoryXataZepCallbacksChat loadersComponentsMemorySQLiteSQLiteSQLite is a database engine written in the C programming language. It is not a standalone app; rather, it is a library that software developers embed in their apps. As such, it belongs to the family of embedded databases. It is the most widely deployed database engine, as it is used by several of the top web browsers, operating systems, mobile phones, and other embedded systems.In this walkthrough we'll create a simple conversation chain which uses ConversationEntityMemory backed by a SqliteEntityStore.#!pip install sqlite3from langchain.chains import ConversationChainfrom langchain.llms import OpenAIfrom langchain.memory import ConversationEntityMemoryfrom langchain.memory.entity import SQLiteEntityStorefrom langchain.memory.prompt import ENTITY_MEMORY_CONVERSATION_TEMPLATEentity_store = SQLiteEntityStore()llm = OpenAI(temperature=0)memory = ConversationEntityMemory(llm=llm, entity_store=entity_store)conversation = ConversationChain(    llm=llm,    prompt=ENTITY_MEMORY_CONVERSATION_TEMPLATE,    memory=memory,    verbose=True,)Notice the usage of EntitySqliteStore as parameter to entity_store on the memory property.conversation.run("Deven & Sam are working on a hackathon project")            > Entering new ConversationChain chain...    Prompt after formatting:    You are an assistant to a human, powered by a large language model trained by OpenAI.        You are designed to be able to assist with a wide range of tasks, from answering simple questions