📄️ AI Prompt Templates
Orkes Conductor enables you to create, refine, and securely share the prompts your organization is developing as part of the business logic for which you are employing LLMs for. This essential component of an AI application is managed with precise access controls, allowing you to determine which models they can be associated with and which teams can incorporate them into their workflows.
📄️ LLM Text Complete
A system task to predict or generate the next phrase or words in a given text based on the context provided.
📄️ LLM Generate Embeddings
A system task to generate embeddings from the input data provided. Embeddings are the processed input text converted into a sequence of vectors, which can then be stored in a vector database for retrieval later. You can use a model that was previously integrated to generate these embeddings.
📄️ LLM Get Embeddings
A system task to get the numerical vector representations of words, phrases, sentences, or documents that have been previously learned or generated by the model. Unlike the process of generating embeddings (LLM Generate Embeddings task), which involves creating vector representations from input data, this task deals with the retrieval of pre-existing embeddings for efficient and rapid access.
📄️ LLM Index Document
A system task to index the provided document into a vector database that can be efficiently searched, retrieved, and processed later.
📄️ LLM Get Document
A system task to retrieve the content of the document provided and use it for further data processing using AI tasks.
📄️ LLM Index Text
A system task to index the provided text into a vector space that can be efficiently searched, retrieved, and processed later.
📄️ LLM Search Index
A system task to search the vector database or repository of vector embeddings of already processed and indexed documents to get the closest match. You can input a query that typically refers to a question, statement, or request made in natural language that is used to search, retrieve, or manipulate data stored in a database.