Slide 1

Slide 1 text

© 2024 Cloudera, Inc. All rights reserved. Building Real-Time Generative AI Pipelines Tim Spann Principal Developer Advocate April 12, 2024 AI Max Summit

Slide 2

Slide 2 text

© 2024 Cloudera, Inc. All rights reserved.

Slide 3

Slide 3 text

© 2024 Cloudera, Inc. All rights reserved. 3 This week in Apache NiFi, Apache Flink, Apache Kafka, ML, AI, Apache Spark, Apache Iceberg, Python, Java and Open Source friends. https://bit.ly/32dAJft https://www.meetup.com/futureofdata- princeton/ FLaNK Stack Weekly by Tim Spann

Slide 4

Slide 4 text

© 2024 Cloudera, Inc. All rights reserved. 4 Confidential—Restricted @PaasDev https://www.meetup.com/futureofdata-princeton/ From Big Data to AI to Streaming to Containers to Cloud to Analytics to Cloud Storage to Fast Data to Machine Learning to Microservices to ... Future of Data - NYC + NJ + Philly + Virtual https://linktr.ee/tspannhw

Slide 5

Slide 5 text

© 2024 Cloudera, Inc. All rights reserved. 5 Tim Spann Twitter: @PaasDev Blog: datainmotion.dev Principal Developer Advocate Princeton Future of Data Meetup ex-Pivotal, ex-Hortonworks, ex-StreamNative, ex-HPE, ex-PwC, ex-EY. https://medium.com/@tspann https://github.com/tspannhw

Slide 6

Slide 6 text

© 2024 Cloudera, Inc. All rights reserved. 6 Some common Vector DBs Open Community & Open Models RAPID INNOVATION IN THE LLM SPACE Too much to cover today.. but you should know the common LLMs, Frameworks, Tools Notable LLMs Closed Models Open Models GPT3.5 GPT4 Llama2 Mistral7B Mixtral8x7B Claude2 ++ 100s more… check out the HuggingFace LLM Leaderboard (pretrained, domain fine-tuned, chat models, …) Code Llama Popular LLM Frameworks When to use one over the other? Use Langchain if you need a general-purpose framework with flexibility and extensibility. Consider LlamaIndex if you’re building a RAG only app (retrieval/search) Langchain is a framework for developing apps powered by LLMs ● Python and JavaScript Libraries ● Provides modules for LLM Interface, Retrieval, & Agents LLamaIndex is a framework designed specifically for RAG apps ● Python and JavaScript Libraries ● Provides built in optimizations / techniques for advanced RAG HuggingFace is an ML community for hosting & collaborating on models, datasets, and ML applications ● Latest open source LLMs are in HuggingFace ● + great learning resources / demos https://huggingface.co/ Open Source vs Self Hosted vs SaaS option

Slide 7

Slide 7 text

© 2024 Cloudera, Inc. All rights reserved. 7 Enterprise Knowledge Base / Chatbot / Q&A - Customer Support & Troubleshooting - Enable open ended conversations with user provided prompts Code assistant: - Provide relevant snippets of code as a response to a request written in natural language. - Assist with creating test cases and synthetic test data. - Reference other relevant data such as a company’s documentation to help provide more accurate responses. Social and emotional sensing - Gauge emotions and opinions based on a piece of text. - Understand and deliver a more nuanced message back based on sentiment. ENTERPRISE WIDE USE CASES FOR AN LLM Classification and Clustering - Categorize and sort large volumes of data into common themes and trends to support more informed decision making. Language Translation - Globalize your content by feeding web pages through LLMs for translation. - Combine with chatbots to provide multilingual support to your customer base. Document Summarization - Distill large amounts of text down to the most relevant points. Content Generation - Provide detailed and contextually relevant prompts to develop outlines, brainstorm ideas and approaches for content. L Adoption dependent upon an Enterprise’s risk tolerance, restrictions, decision rights and disclosure obligations.

Slide 8

Slide 8 text

© 2024 Cloudera, Inc. All rights reserved. NLP / AI / LLM Generative AI

Slide 9

Slide 9 text

9 Which Model and When? Use the right model for right job: closed or open-source Closed Source Usage can easily scale but so can your costs Rapidly improving AI models Most advanced AI models Excel at more specialized tasks Great for a wide range of tasks Open Source Better cost planning Compliance, privacy, and security risks More control over where & how models are deployed

Slide 10

Slide 10 text

10 Adoption of Generative AI is a Journey Identifying AI challenges in the enterprise Data integration barriers ● Streamlined access to enterprise data Rigid model infrastructure ● Modularity ● Flexibility ● AI Ops Lack of security and transparency ● Model control ● Built-in security ● Visibility & governance What’s missing Challenges

Slide 11

Slide 11 text

11 Data = Organization Context Your data enables contextually accurate responses from LLMs Large Language Model User Query Contextually Inaccurate Response Data Organization Context User Query Large Language Model Contextually Accurate Response

Slide 12

Slide 12 text

© 2024 Cloudera, Inc. All rights reserved. 12 CLOSED-SOURCE FOUNDATION MODELS MODEL HUBS OPEN SOURCE FOUNDATION MODELS FINE-TUNED MODELS PRIVATE VECTOR STORE MANAGED VECTOR STORE CLOUD INFRASTRUCTURE Milvus, Solr* Meta (Llama 2) Applied Machine Learning Prototypes (AMPs) Hugging Face Pinecone SPECIALIZED HARDWARE APIs: OpenAI (GPT-4 Turbo) Amazon Bedrock: Anthropic (Claude 2), Cohere… DATA WRANGLING REAL-TIME DATA INGEST & ROUTING AI MODEL TRAINING & INFERENCE DATA STORE & VISUALIZATION Open Data Lakehouse DATA WRANGLING REAL-TIME DATA INGEST & ROUTING AI MODEL TRAINING & SERVING DATA STORE & VISUALIZATION AI APPLICATIONS

Slide 13

Slide 13 text

Live Q&A Travel Advisories Weather Reports Documents Social Media Databases Transactions Public Data Feeds S3 / Files Logs ATM Data Live Chat … ARCHITECTURE INTERACT COLLECT STORE ENRICH, REPORT Distribute Collect Report REPORT Visualize Report, Automate AI BASED ENHANCEMENTS Predict, Automate VECTOR DATABASE LLM Machine Learning Data Visualization Data Flow Data Warehouse SQL Stream Builder Data Visualization Input Sentences Generated Text Timestamp Input Sentence Timestamps Enrichments Messaging Broker Real-time alerting Real-time alerting Aggregations

Slide 14

Slide 14 text

© 2024 Cloudera, Inc. All rights reserved. DATAFLOW / STREAMING

Slide 15

Slide 15 text

LLM USE CASE Vector DB AI Model Unstructured file types Data in Motion on Cloudera Data Platform (CDP) Capture, process & distribute any data, anywhere Other enterprise data Open Data Lakehouse Materialized Views Structured Sources Applications/API’s Streams

Slide 16

Slide 16 text

https://medium.com/cloudera-inc/getting-ready-for-apache-nifi-2-0-5a5e6a67f450 NiFi 2.0.0 Features ● Python Integration ● Parameters ● JDK 21+ ● JSON Flow Serialization ● Rules Engine for Development Assistance ● Run Process Group as Stateless ● flow.json.gz https://cwiki.apache.org/confluence/display/NIFI/NiFi+2.0+Release+Goals

Slide 17

Slide 17 text

17 DataFlow Pipelines Can Help External Context Ingest Ingesting, routing, clean, enrich, transforming, parsing, chunking and vectorizing structured, unstructured, semistructured, binary data and documents Prompt engineering Crafting and structuring queries to optimize LLM responses Context Retrieval Enhancing LLM with external context such as Retrieval Augmented Generation (RAG) Roundtrip Interface Act as a Discord, REST, Kafka, SQL, Slack bot to roundtrip discussions

Slide 18

Slide 18 text

18 UNSTRUCTURED DATA WITH NIFI • Archives - tar, gzipped, zipped, … • Images - PNG, JPG, GIF, BMP, … • Documents - HTML, Markdown, RSS, PDF, Doc, RTF, Plain Text, … • Videos - MP4, Clips, Mov, Youtube URL… • Sound - MP3, … • Social / Chat - Slack, Discord, Twitter, REST, Email, … • Identify Mime Types, Chunk Documents, Store to Vector Database • Parse Documents - HTML, Markdown, PDF, Word, Excel, Powerpoint

Slide 19

Slide 19 text

19 CLOUD ML/DL/AI/Vector Database Services • Cloudera ML • Amazon Polly, Translate, Textract, Transcribe, Bedrock, … • Hugging Face • IBM Watson X.AI • Vector Stores Anywhere: Weaviate, Pinecone, Milvus, Chroma DB, SOLR, …

Slide 20

Slide 20 text

20 https://medium.com/cloudera-inc/google-gemma-for-real-time-lightweight-open-llm-infe rence-88efe98e580f

Slide 21

Slide 21 text

© 2024 Cloudera, Inc. All rights reserved.

Slide 22

Slide 22 text

© 2024 Cloudera, Inc. All rights reserved. Python Processors

Slide 23

Slide 23 text

© 2024 Cloudera, Inc. All rights reserved. Extract Entities ● Python 3.10+ ● NLP, SpaCY ● Extract locations ● Extract organizations ● Extract money ● Extract time ● Extract events ● Extract countries ● Extract objects, food, people, quantities https://github.com/tspannhw/FLaNK-python-processors/blob/main/ExtractEntities.py

Slide 24

Slide 24 text

© 2024 Cloudera, Inc. All rights reserved. Extract Company Names ● Python 3.10+ ● Hugging Face, NLP, SpaCY, PyTorch https://github.com/tspannhw/FLaNK-python-ExtractCompanyName-processor

Slide 25

Slide 25 text

© 2024 Cloudera, Inc. All rights reserved. WatsonX SDK To Foundation ● Python 3.10+ ● LLM ● WatsonX.AI Foundation Models ● Inference ● Secure ● Official SDK from IBM https://github.com/tspannhw/FLaNK-python-watsonx-processor

Slide 26

Slide 26 text

© 2024 Cloudera, Inc. All rights reserved. CaptionImage ● Python 3.10+ ● Hugging Face ● Salesforce/blip-image-captioning-large ● Generate Captions for Images ● Adds captions to FlowFile Attributes ● Does not require download or copies of your images https://github.com/tspannhw/FLaNK-python-processors

Slide 27

Slide 27 text

© 2024 Cloudera, Inc. All rights reserved. RESNetImageClassification ● Python 3.10+ ● Hugging Face ● Transformers ● Pytorch ● Datasets ● microsoft/resnet-50 ● Adds classification label to FlowFile Attributes ● Does not require download or copies of your images https://github.com/tspannhw/FLaNK-python-processors

Slide 28

Slide 28 text

© 2024 Cloudera, Inc. All rights reserved. NSFWImageDetection ● Python 3.10+ ● Hugging Face ● Transformers ● Falconsai/nsfw_image_detection ● Adds normal and nsfw to FlowFile Attributes ● Gives score on safety of image ● Does not require download or copies of your images https://github.com/tspannhw/FLaNK-python-processors

Slide 29

Slide 29 text

© 2024 Cloudera, Inc. All rights reserved. FacialEmotionsImageDetection ● Python 3.10+ ● Hugging Face ● Transformers ● facial_emotions_image_detection ● Image Classification ● Adds labels/scores to FlowFile Attributes ● Does not require download or copies of your images https://github.com/tspannhw/FLaNK-python-processors

Slide 30

Slide 30 text

© 2024 Cloudera, Inc. All rights reserved. Other Python Processors ● Chunk Document, Parse Document ● Prompt Chat GPT ● Put Chroma, Query Chroma ● Put Pinecone, Query Pinecone

Slide 31

Slide 31 text

© 2024 Cloudera, Inc. All rights reserved. FLINK SQL

Slide 32

Slide 32 text

© 2024 Cloudera, Inc. All rights reserved. © 2023 Cloudera, Inc. All rights reserved. 32 FLINK SQL -> CLOUDERA MACHINE LEARNING MODELS

Slide 33

Slide 33 text

© 2024 Cloudera, Inc. All rights reserved. © 2023 Cloudera, Inc. All rights reserved. 33 FLINK SQL -> NIFI -> HUGGING FACE GOOGLE GEMINI

Slide 34

Slide 34 text

© 2024 Cloudera, Inc. All rights reserved. © 2023 Cloudera, Inc. All rights reserved. 34 SSB UDF JS/JAVA + GenAI = Real-Time GenAI SQL https://medium.com/cloudera-inc/adding-generative-ai-results-to-sql-streams-513e1fd2a6af SELECT CALLLLM(CAST(messagetext as STRING)) as generatedtext, messagerealname, messageusername, messagetext,messageusertz, messageid, threadts, ts FROM flankslackmessages WHERE messagetype = 'message'

Slide 35

Slide 35 text

© 2024 Cloudera, Inc. All rights reserved. 35 SSB MATERIALIZED VIEWS Key Takeaway; MV’s allow data scientist, analyst and developers consume data from the firehose

Slide 36

Slide 36 text

© 2024 Cloudera, Inc. All rights reserved. 36 © Cloudera, Inc. All rights reserved. Apache Flink SQL Democratize access to real-time data with just SQL

Slide 37

Slide 37 text

© 2024 Cloudera, Inc. All rights reserved. Infer Tables from Kafka Topics with JSON or Avro

Slide 38

Slide 38 text

© 2024 Cloudera, Inc. All rights reserved. APACHE KAFKA

Slide 39

Slide 39 text

© 2024 Cloudera, Inc. All rights reserved. Let’s do a metamorphosis on your data. Don’t fear changing data. You don’t need to be a brilliant writer to stream data. Franz Kafka was a German-speaking Bohemian novelist and short-story writer, widely regarded as one of the major figures of 20th-century literature. His work fuses elements of realism and the fantastic. Wikipedia YES, FRANZ, IT’S KAFKA

Slide 40

Slide 40 text

© 2024 Cloudera, Inc. All rights reserved. 40 Streams Replication Manager (SRM) • Event Replication engine for Kafka • Supports active-active, multi-cluster, cross DC replication scenarios • Leverage Kafka Connect for scalability and HA • Replicate data and configurations (ACL, partitioning, new topics, etc) • Offset translation for simplified failover • Integrate replication monitoring with SMM

Slide 41

Slide 41 text

© 2024 Cloudera, Inc. All rights reserved.

Slide 42

Slide 42 text

© 2024 Cloudera, Inc. All rights reserved. APACHE ICEBERG

Slide 43

Slide 43 text

© 2024 Cloudera, Inc. All rights reserved.

Slide 44

Slide 44 text

© 2024 Cloudera, Inc. All rights reserved. 44 Cloudera’s Open Data Lakehouse ❏ Multi-function analytics for Streaming, Data Engineering, Data Warehouse and AI/ML with integrated data services ❏ Common security and governance policies and data lineage with SDX integration ❏ Common dataset with all CDP analytics engines without data duplication and movement ❏ Deployment freedom with Multi-Hybrid Cloud Iceberg Tables DATA WAREHOUSE MACHINE LEARNING DATA ENGINEERING DATA FLOW STREAM PROCESSING Multi-Hybrid Cloud Metadata | Security | Encryption | Control | Governance

Slide 45

Slide 45 text

© 2024 Cloudera, Inc. All rights reserved. 45 Compute Engine Interoperability & SDX Integration ● Snapshot isolation ensures consistent data access and processing with various compute engines including Hive, Spark, Impala and Nifi ● Security & Governance support (e.g. FGAC) through Ranger integration ● Data lineage support through Atlas integration Apache Impala Iceberg Tables Ranger Atlas

Slide 46

Slide 46 text

© 2024 Cloudera, Inc. All rights reserved. FLINK & ICEBERG INTEGRATION Robust Next Generation Architecture for Data Driven Business Unified Processing Engine Massive Open table format Iceberg Support for Flink APIs through SSB • Maximally open • Maximally flexible • Ultra high performance for MASSIVE data • Can be used as Source and Sink • Supports batch and streaming modes • Supports time travel

Slide 47

Slide 47 text

© 2024 Cloudera, Inc. All rights reserved. NIFI & ICEBERG INTEGRATION • PutIceberg processor in CFM 2.1.6 • PutIcebergCDC

Slide 48

Slide 48 text

© 2024 Cloudera, Inc. All rights reserved. DEMO I Can Haz Data?

Slide 49

Slide 49 text

© 2024 Cloudera, Inc. All rights reserved. CSP Community Edition ● Docker compose file of CSP to run from command line w/o any dependencies, including Flink, SQL Stream Builder, Kafka, Kafka Connect, Streams Messaging Manager and Schema Registry. ○ $>docker compose up ● Licensed under the Cloudera Community License ● Unsupported Commercially (Community Help - Ask Tim) ● Community Group Hub for CSP ● Find it on docs.cloudera.com (see QR Code) ● Kafka, Kafka Connect, SMM, SR, Flink, Flink SQL, MV, Postgresql, SSB ● Develop apps locally

Slide 50

Slide 50 text

© 2024 Cloudera, Inc. All rights reserved. Open Source Edition • Apache NiFi in Docker • Try new features quickly • Develop applications locally ● Docker NiFi ○ docker run --name nifi -p 8443:8443 -d -e SINGLE_USER_CREDENTIALS_USERNAME=admin -e SINGLE_USER_CREDENTIALS_PASSWORD=ctsBtRBKHRAx69EqUghv vgEvjnaLjFEB apache/nifi:latest ● Licensed under the ASF License ● Unsupported ● NiFi 1.25 and NiFi 2.0.0-M2 https://hub.docker.com/r/apache/nifi

Slide 51

Slide 51 text

© 2024 Cloudera, Inc. All rights reserved. https://medium.com/cloudera-inc/streaming-street-cams-to-yolo-v8-with-python-and-nifi-to-minio-s3-3277e73723ce Street Cameras

Slide 52

Slide 52 text

© 2024 Cloudera, Inc. All rights reserved. CEM, CDF, CSP ● https://medium.com/cloudera-inc/watching-airport-traffic-in-real-time-32c522a6e386 ● https://medium.com/cloudera-inc/building-a-real-time-data-pipeline-a-comprehensive-tutorial-on-mi nifi-nifi-kafka-and-flink-ee03ee6722cb ● https://medium.com/cloudera-inc/finding-the-best-way-around-7491c76ca4cb ● https://medium.com/cloudera-inc/nyc-traffic-are-you-kidding-me-6d3fa853903b CDF ● https://medium.com/@tspann/building-a-travel-advisory-app-with-apache-nifi-in-k8-969b44c84958 LLM, GenAI, HuggingFace, WatsonX, OLLAMA, Mistral, NiFi, Python, Slack, Pytorch ● https://medium.com/@tspann/using-ollama-with-mistral-and-apache-nifi-720c17f5ff12 ● https://medium.com/cloudera-inc/google-gemma-for-real-time-lightweight-open-llm-inference-88efe 98e580f ● https://medium.com/@tspann/image-processing-with-custom-python-and-nifi-2-0-06eadc62c03c ● https://medium.com/@tspann/ai-augmented-devrel-part-1-4058af905a89 ● https://medium.com/cloudera-inc/mixtral-generative-sparse-mixture-of-experts-in-dataflows-59744f 7d28a9 ● https://medium.com/@tspann/building-an-llm-bot-for-meetups-and-conference-interactivity-c211ea6 e3b61 ● https://medium.com/@tspann/yet-another-python-processor-45aaae6fe406

Slide 53

Slide 53 text

© 2024 Cloudera, Inc. All rights reserved. https://github.com/tspannhw/PaK-Stocks https://github.com/tspannhw/FLaNK-Py-Stocks https://medium.com/cloudera-inc/let-nifi-worry-about-those-stoc ks-for-you-57d5f16b5e6b

Slide 54

Slide 54 text

No content

Slide 55

Slide 55 text

CLOUDERA STREAM PROCESSING Two Major Capabilities: Enterprise Messaging and Powerful Stream Processing Enterprise grade messaging products for Apache Kafka. Streams Messaging Manager to monitor/operate clusters, Streams Replication Manager for HA/DR deployments, Schema Registry for centralized schema management, and support for Kafka Connect and Cruise Control Cloudera Streaming Analytics (CSA) Powered By Apache Flink Cloudera Streams Messaging (CSM) Powered by Apache Kafka Powered by Apache Flink with SQL StreamBuilder, it provides low-latency stream processing capabilities with advanced windowing & state management made simple with SQL

Slide 56

Slide 56 text

ENTERPRISE MANAGEMENT CAPABILITIES FOR APACHE KAFKA Extend streams messaging services for Schema Mgmt, Replication & Monitoring Schema Registry Kafka Schema Governance Streams Replication Manager Kafka Replication Service for Disaster Recovery Streams Messaging Manager Management & Monitoring Service for all of your Kafka clusters

Slide 57

Slide 57 text

Kafka Data Movement, Operations and Security Made Easier ENTERPRISE MANAGEMENT CAPABILITIES FOR APACHE KAFKA Kafka Connect Support Simple Data Movement Change Data Capture Connectors Build Custom Connectors with NiFi Ranger Security Improved ACL and Audit for Kafka, KConnect and Schema Registry Cruise Control Support Intelligent Rebalancing & Self-Healing of your Kafka Clusters

Slide 58

Slide 58 text

CLOUDERA STREAM PROCESSING Two Major Capabilities: Enterprise Messaging and Powerful Stream Processing Enterprise grade messaging products for Apache Kafka. Streams Messaging Manager to monitor/operate clusters, Streams Replication Manager for HA/DR deployments, Schema Registry for centralized schema management, and support for Kafka Connect and Cruise Control Cloudera Streaming Analytics (CSA) Powered By Apache Flink Cloudera Streams Messaging (CSM) Powered by Apache Kafka Powered by Apache Flink with SQL StreamBuilder, it provides low-latency stream processing capabilities with advanced windowing & state management made simple with SQL

Slide 59

Slide 59 text

NEXT GENERATION STREAMING ANALYTICS WITH APACHE FLINK Low latency stateful stream processing ● Flink is a distributed data processing systems ideally suited for real-time, event driven applications. ● Unifies stream and batch processing ● Advanced features - late arriving data, checkpointing, event time processing, Exactly Once Processing Real-Time Insights Event Processing Low Latency

Slide 60

Slide 60 text

SQL STREAM BUILDER (SSB) SQL STREAM BUILDER allows developers, analysts, and data scientists to write streaming applications with industry standard SQL. No Java or Scala code development required. Simplifies access to data in Kafka & Flink. Connectors to batch data in HDFS, Kudu, Hive, S3, JDBC, CDC and more Enrich streaming data with batch data in a single tool Democratize access to real-time data with just SQL

Slide 61

Slide 61 text

© 2024 Cloudera, Inc. All rights reserved. 61 LLMs ARE FOUNDATION MODELS Base models that can be adapted for a wide range of use cases Terabytes of Data (Multiple Formats) Foundation Models (Billions of Parameters) Train Adapt Question/Answering Sentiment Analysis Doc summarization … ++ more ➔ Historically, data scientists trained specialized models against narrow datasets to solve specific tasks. ➔ LLMs are Foundation models that can be adapted to perform a variety of tasks. ◆ It is faster to “adapt” a foundation model than it is to train a specialized model from scratch ◆ Decouples “knowledge” from “intelligence” ◆ Opens up AI use cases to software developers (instead of just specialised data scientists)

Slide 62

Slide 62 text

© 2024 Cloudera, Inc. All rights reserved. https://medium.com/cloudera-inc/streaming-street-cams-to-yolo-v8-with-python-and-nifi-to-minio-s3-3277e73723ce Street Cameras

Slide 63

Slide 63 text

© 2024 Cloudera, Inc. All rights reserved. 63 TH N Y U