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60 files changed
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lines changed- notebooks
- atlas-and-kai
- backup-database-s3
- basic-query-examples
- building-a-multi-agent-ai-app-with-autogen
- cdc-mongodb-sql-commands
- cloud-functions-template
- confluent-cloud-integration
- create-dash-app
- evaluating-llms-with-uptrain
- getting-started-with-dataframes
- getting-started-with-fusion-sql
- getting-started-with-mongocdc
- getting-started-with-notebooks
- getting-started-with-singlestore
- how-to-build-llm-apps-that-can-see-hear-speak
- hybrid-full-text-vector-search
- hybrid-search
- image-matching-with-sql
- ingest-pdfs-with-unstructured
- inserting-embeddings-from-multiple-models-into-singlestore-using-external-functions
- insure-gpt-demo
- integrating-with-pandas
- kebab-case
- launch-open-source-apps-with-langchain
- load-csv-data-s3
- load-csv-data-s3-placeholder
- load-data-json
- load-data-kakfa
- load-json-files-s3
- managing-stage-files-with-fusion-sql
- movie-recommendation
- network-intrusion-detection-part-1
- network-intrusion-detection-part-2
- network-intrusion-detection-part-3
- notebook-basics
- optimize-performance-with-tpch-100
- performance-troubleshooting
- pipelines-query-tuning
- rag-with-bedrock
- real-time-anomaly-detection
- real-time-recommendation-engine
- representing-unstructured-data-as-vectors
- restore-database-from-s3
- resume-evaluator
- resume-evaluator-ANN-index-search
- searching-all-of-wikipedia
- semantic-search-with-hugging-face
- semantic-search-with-openai-embedding-creation
- semantic-search-with-openai-qa
- semantic-visualization-and-vector-datatype
- similarity-search-on-vector-data
- singlestore-april-challenge-haiku-ascii
- singlestore-now-2024
- unified-data-analysis-sql-nosql-kai
- vector-database-basics
- vector-search-with-kai
- working-with-vector-data
- resources
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