Practical Artificial Intelligence Programming With Clojure

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Practical Artificial Intelligence Programming With Clojure22 chapters

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  1. Cover Material, Copyright, and License

  2. Preface

  3. Deep Learning Using Deeplearning4j

  4. Natural Language Processing Using OpenNLP

  5. Using uv and Python/Clojure Interoperation Using the libpython-clj2 Library

  6. Semantic Search Using a Vector Database and Python and uv Interoperability

  7. Anomaly Detection Machine Learning Example

  8. Web Scraping

  9. Using the Brave Search APIs

  10. Background Material for the Semantic Web and Knowledge Graphs

  11. Clojure Wrapper for the Jena RDF and SPARQL Library

  12. Simple RDF Datastore and Partial SPARQL Query Processor

  13. Knowledge Graph Navigator

  14. Datomic Local: Clojure wrapper for Immutable Datalog

  15. Using the OpenAI APIs

  16. Using the Google Gemini APIs

  17. Using the LiteLLM-CLJ Library as a Universal LLM Interface

  18. Question Answering Using OpenAI APIs and a Local Embeddings Vector Database

  19. Running LLMs Locally Using Ollama

  20. Using Moonshot’s Kimi K2 Model with Built In $web_search Tool Support

  21. AgentScope Agent Oriented Framework

  22. Conclusions