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HomeGuidesAPI and SDK Reference

Getting Started

  • What's New
    • Release 2023.8
    • Release 2023.7
  • 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
  • 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
  • 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
    • Synchronizing 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
    • HallucinationDetector
    • JoinDocuments
    • PDFToTextConverter
    • PreProcessor
    • PromptNode
    • QueryClassifier
    • Ranker
    • Reader
    • Retriever
    • TextConverter
  • About Experiments
    • Evaluation Metrics
    • Evaluation Datasets
    • Guidelines for Annotating Data
    • Relevance Scores
  • Data Flow in deepset Cloud
  • Language Models in deepset Cloud

Learn

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

Pipeline Examples

We've gathered examples of various pipelines that we found worked well in production. They're organized by task type. You can reuse them in deepset Cloud as they are or adjust to your use case.

Suggest Edits

Generative Question Answering Pipelines

Document Retrieval Pipelines

Extractive Question Answering Pipelines

Summarization Pipelines

Updated 15 days ago


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