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Getting Started
What's New
Release 2024.4
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Release 2024.2
Release 2024.1
Release 2023.12
Release 2023.11
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: An Extractive Question Answering System
Use Case: A Document Search System
Pipeline Examples
Retrieval Augmented Generation (RAG) Question Answering Answering Pipelines
Document Search 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 Search 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 RAG 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
Working with Metadata
Add Metadata to Your Files
Use Metadata in Your Search System
Filtering Logic
PreProcessing Data with Pipeline Nodes
Create a Pipeline
Edit a Pipeline
Change the Pipeline's Service Level
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 Search Pipeline
Improving Your Question Answering Pipeline
Handling Different Query Types
Boosting Retrieval with OpenSearch Queries
Testing Your Pipeline
Test Your Pipeline in Playground
Set Default Pipeline
Productionizing Your Pipeline
Use Your Pipeline in Your Target App
Monitor Pipeline Performance
Synchronize Your Data
Check the Groundedness Score
Understand Your Pipeline Usage
Working with Large Language Models (LLMs)
Engineering Prompts
Prompt Engineering Guidelines
Using Hosted LLMs in Your Pipelines
Setting Up Your VPC
Connect Your OpenSearch Cluster
Connect Your S3 Bucket
Working with Jobs
Prepare a Query Set
Create a Job
Share a Job
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
AnswerDeduplication
CNAzureConverter
InterleaveDocuments
DeepsetCloudDocumentStore
EntityExtractor
FileDownloader
FileTypeClassifier
JoinAnswers
JoinDocuments
PDFToTextConverter
PreProcessor
PromptNode
QueryClassifier
RetrievalScoreAdjuster
ReturnError
Ranker
Reader
ReferencePredictor
Retriever
Shaper
TextConverter
About Experiments
Evaluation Metrics
Evaluation Datasets
Labeling Projects
Guidelines for Labeling Data
Relevance Scores
About Jobs
Data Flow in deepset Cloud
Language Models in deepset Cloud
Learn
Retrieval Augmented Generation (RAG) Question Answering
Document Search
Extractive Question Answering
Language Models
Large Language Models Overview
Become an Expert
Suggest Edits
🚧
Tutorials coming soon! Stay tuned.
Updated over 1 year ago
