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HomeGuidesAPI and SDK Reference

Getting Started

  • What's New
    • Release 2023.8
    • Release 2023.7
    • Release 2023.11
  • What's deepset Cloud?
  • Quick Start Guide
  • Working in deepset Cloud
  • Basic Concepts
  • Use Cases
    • Use Case: Generative AI Systems
    • Use Case: A Live QA System
    • Use Case: A Document Retrieval System
  • Pipeline Examples
    • Generative Question Answering Pipelines
    • Document Retrieval Pipelines
    • Extractive Question Answering Pipelines
    • Summarization Pipelines
  • Third-Party Software

Tutorials

  • Learn the Basics
    • Tutorial: Building Your First Question Answering App
    • Tutorial: Building Your First Document Retrieval App
    • Tutorial: Building a Summarization System with a Large Language Model
    • Tutorial: Uploading Files with Metadata through SDK CLI
    • Tutorial: Creating an Experiment for a QA Pipeline
    • Tutorial: Creating an Evaluation Dataset for Document Search
  • Learn More Advanced Features
    • Tutorial: Building a Robust Generative Question Answering System
    • Tutorial: Building a Search App Through SDK
    • Tutorial: Uploading Files with Python Methods
    • Tutorial: Demoing Your App
    • Tutorial: Fine-Tuning the Reader Model in SDK

How-To Guides

  • Designing Your Pipeline
    • Upload Files
    • PreProcessing Data with Pipeline Nodes
    • Create a Pipeline
    • Edit a Pipeline
    • Deploy a Pipeline
    • Troubleshoot Pipeline Deployment
  • Evaluating Your Pipeline
    • Upload an Evaluation Set
    • Create an Experiment Run
    • Review Your Experiments
    • Update an Experiment Run
    • Share a Pipeline Prototype
    • Collect User Feedback
    • Guidelines for Onboarding Your Users
    • Export Users' Feedback
    • Label Your Data
    • Label Answers
  • Optimizing Your Pipeline
    • Improving Your Document Retrieval Pipeline
    • Improving Your Question Answering Pipeline
    • Handling Different Query Types
    • Boosting Retrieval with OpenSearch Queries
  • Searching with Your Pipeline
    • Run a Search
    • Add Search Filters Through Metadata
    • Filtering Logic
    • Set Default Pipeline
  • Productionizing Your Pipeline
    • Use Your Pipeline in Your Target App
    • Monitor Pipeline Performance
    • Synchronize Your Data
  • Working with Large Language Models (LLMs)
    • Experimenting with Prompts
    • Prompt Engineering Guidelines
  • Setting Up Your VPC
    • Connect Your OpenSearch Cluster
    • Connect Your S3 Bucket
  • Using the Python SDK
    • Install the SDK
    • Log in to SDK
  • Managing Access
    • Manage Users
    • Connect to Model Providers
    • Generate an API Key

Concepts

  • About Pipelines
  • Pipeline Nodes
    • DeepsetCloudDocumentStore
    • FileTypeClassifier
    • JoinDocuments
    • PDFToTextConverter
    • PreProcessor
    • PromptNode
    • QueryClassifier
    • Ranker
    • Reader
    • ReferencePredictor
    • Retriever
    • TextConverter
  • About Experiments
    • Evaluation Metrics
    • Evaluation Datasets
    • Labeling Projects
    • Guidelines for Labeling Data
    • Relevance Scores
  • Data Flow in deepset Cloud
  • Language Models in deepset Cloud

Learn

  • Generative Question Answering
  • Document Retrieval
  • Extractive Question Answering
  • Language Models
    • Large Language Models Overview

What's New

Find out how we're enhancing deepset Cloud and what new features are available.

Suggest Edits

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What does the release name mean?

deepset Cloud release names follow the convention: . A release called 2023.08 means all changes that were added in August 2023.

Release 2023.11

Release 2023.8

Release 2023.7

Updated 24 days ago


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