SingleStoreSpaces
Solve common problems in a few minutes with end-to-end applications using SingleStoreDB.
Mongo Atlas & SingleStore Kai
Run your MongoDB queries on SingleStore Kai with no code change.
startermongokai
Backup Database to AWS S3
Performs backup either single or multiple databases to AWS S3.
starterbackup
How to Build a Multi-Agent AI App with AutoGen
Learn how to build a multi-agent group chat with RAG using Autogen and SingleStore
starterautogenragmultiagentgroupchat
Ingest data from MONGODB® to SingleStore using SQL commands
Setup CDC Replication from MongoDB® to SingleStore using SQL commands.
mongopipelinecdcingestkai
Ingest data from Confluent Cloud (Kafka)
A step-by-step guide on seamlessly ingesting data from Confluent Cloud (Kafka) into your SingleStoreDB database using a robust pipeline.
advancedconfluentkafkapipelinerealtime
Evaluating LLMs with Uptrain
Using Uptrain to evaluate LLMs built with SingleStore as the contextual store. This notebook uses OpenAI embedding models and Langchain as a development framework.
openaillmvectordblangchain
Getting Started with DataFrames in SingleStoreDB
Data in SingleStoreDB can be queried and modified using a familiar DataFrame syntax in addition to SQL.
starterdataframepython
Getting Started with Fusion SQL
Fusion SQL allows you to manage your SingleStoreDB Cloud resources such as workspace groups, workspaces, and Stage files all from SQL.
starterfusionpython
Getting Started With CDC Replication from MongoDB
Setup Zero ETL data replication from MongoDB to SingleStore
cdcmongokai
Getting Started with Notebooks
SingleStore Notebooks with an AI Copilot (SQrL) for data prototyping, visualization and analysis.
starterpythonsqrl
How to Build LLM Apps that can See Hear Speak
Using OpenAI to build an app that can take images, audio, and text data to generate output
advancedopenaigenaivectordb
Hybrid Search
Hybrid search combines keyword search with semantic search, aiming to provide more accurate results.
starteropenaigenaivectordb
Image Matching with SQL
Facial recognition using dot_product function on vectors stored in SingleStoreDB.
startervectordbgenaifacenet
Ask questions of your PDFs with Unstructured
Ask questions of your unstructured PDFs. In this notebook, Unstructured.io ingests pdfs accurately, then Open AI is used to create embeddings, the vector data is stored in SingleStore and finally ask questions of your PDF data
ingestpdfvectorunstructured
Inserting embeddings from multiple models into SingleStore Using External Functions
Discover the power of SingleStoreDB's external functions to dynamically fetch and store vector embeddings from leading AI models into your database. This demo highlights leveraging SingleStore's robust vector data type and external functions for efficient management and analysis of machine learning embeddings.
vectordbgenaiopenairaghuggingface
Integrating pandas with SingleStoreDB
Moving data to and from pandas DataFrames is demonstrated using the SingleStoreDB Python library, SQLAlchemy, and Ibis.
starterdataframepython
Automatically warm up your disk after resuming workspace
Runs through the queries to bring data residing in object storage onto disk for a specified database.
advancedautomationtuning
Launch Open-Source Apps with LangChain
LangChain connector to use SingleStoreDB as your vector database for your apps.
vectordbgenailangchain
Load JSON files with Pipeline from S3
This notebook will help you load JSON files from a public open AWS S3 bucket.
advancedpipelinejsons3
Load files from S3 into Shared Tier
This notebook guides you through data ingestion of CSV files from an AWS S3 location into your shared tier workspace.
pipelines3
Managing Stage files with Fusion SQL
Learn how to manage your Stage files in SingleStoreDB Cloud using Fusion SQL.
starterfusionpython
Movie Recommendation
Movie recommendation engine using vectors stored in SingleStore to find your next watch.
advancedvectordbgenaiopenai
IT Threat Detection, Part 1
Part 1 or Real-time threat Detection - This notebook demonstrates the application of SingleStoreDB's similarity search to create a system for identifying infrequent occurrences, a common requirement in fields such as cybersecurity and fraud detection where only a small percentage of events are potentially malicious.
advancedcybersecurityvectordbiotai
IT Threat Detection, Part 2
Part 2 or Real-time threat Detection - Validate the accuracy of the threat detection model with a test dataset
advancedcybersecurityvectordbiotai
IT Threat Detection, Part 3
Part 3 of Real-time threat Detection - Integrate with Kafka, run and visualize Threat Detection on incoming logs. This notebook requires adjustments to work out of the box.
advancedcybersecurityvectordbiotai
SingleStoreDB Notebook Basics
Foundational guide to notebooks with essential tips and tricks.
starterpythondataframes
Learn how to Optimize Performance with TPCH 100
This notebook will help you understand how you can take advantage of SingleStoreDB distributed capability using TPCH-100.
advancedperformanceturningshardkeyingesttpch
Database Performance Troubleshoot Notebook
This notebook will help you perform database performance troubleshoot
troubleshootperformancetuningstarter
Kafka Pipelines and Query Tuning
Create a SingleStore pipeline to track the International Space Station and adjust queries & schema to optimize performance.
beginnerkafkapipelinequerytuning
Retrieval Augmented Question & Answering with Amazon Bedrock
Infuse domain-specific knowledge from SingleStoreDB into generative AI models on Amazon Bedrock to showcase Question & Answering using RAG (retrieval-agumented generation) to improve the quality of responses.
vectordbgenaibedrockragstarter
Real-Time Anomaly Detection
Real-time anomaly detection in IoT sensor data, harnessing the robust capabilities of SingleStoreDB and advanced analytical techniques.
vectordbrealtime
Real Time Recommendation Engine
We demonstrate how to build and host a real-time recommendation engine for free with SingleStore. The notebook also leverages our new SingleStore Job Service to ensure that the latest data is ingested and used in providing recommendations.
starteropenaivercelrealtimevectordb
Restore Database from AWS S3
This notebook will help you perform database restore from AWS S3.
starteradminrestore
Resume Evaluator with Vector Index
Resume Evaluator using vectors stored in SingleStore to find sutiable resume for your job description, with Indexed ANN search.
vectordbgenaiopenairag
Resume Evaluator
Resume Evaluator using vectors stored in SingleStore to find sutiable resume for your job description.
statervectordbgenaiopenai
Searching all of Wikipedia
Simulate searching through 10 million paragraphs in Wikipedia for information about video games, and generate answers using RAG!
advancedvectordbhybridsearchragann
Semantic Search with Hugging Face Models and Datasets
Use Hugging Face to create embeddings and run semantic search using dot product in SingleStoreDB.
startervectordbhuggingface
Semantic Search with OpenAI Embedding Creation
Generate embeddings and run semantic search in your database in SQL.
starteropenaivectordbgenai
Semantic Search with OpenAI QA
Provide context to chatGPT using data stored in SingleStoreDB.
starteropenaivectordbgenai
Semantic Visualization and Vector Datatype
SingleStoreDB leverages vector database processing to enable storage and search of vector data, allowing for semantic similarity-based searches to find content based on meaning rather than exact matches, such as locating related words like "happy" and "joyful."
statervectordbgenaihuggingfacesemanticsearch
SingleStore April Challenge: Haiku ASCII
SingleStore is hosting a challenge inviting participants to craft a unique Haiku or create captivating ASCII art using SingleStore Notebooks. The most creative masterpiece wins a set of Meta RayBan Smart sunglasses and a $500 AWS gift card!"
challengehaikuascii
Unified Data Analysis: SQL & NoSQL on a Single Database with Kai
Perform both SQL and NoSQL queries on multi-modal relational and JSON data
cdcmongosqlnosqlkai
A Deep Dive Into Vector Databases
Using SingleStoreDB as a vector database and vector database use cases.
vectorembeddings
Working with Vector Data
This example demonstrates the various ways to upload and download vector data from SingleStoreDB using Python.
statervectodbgenai