References & Further Reading

References

1. OpenAI, OpenAI API Reference, 2024

   Official documentation for GPT-4 and related APIs.

2. Anthropic, Claude API Reference, 2024

   Official documentation for Claude API including tool use.

3. P. Lewis et al., Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks, NeurIPS, 2020

   The original RAG paper combining retrieval with generation.

4. J. Wei et al., Chain-of-Thought Prompting Elicits Reasoning in Large Language Models, NeurIPS, 2022

   Introduces chain-of-thought prompting for multi-step reasoning.

5. T. Schick et al., Toolformer: Language Models Can Teach Themselves to Use Tools, NeurIPS, 2024

   Shows LLMs can learn to use tools through self-supervised training.

Further Reading

• Prompt engineering guide

  Anthropic Prompt Engineering Guide (https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering)

  Comprehensive guide to designing effective prompts for Claude.

• Vector databases

  FAISS Documentation (https://github.com/facebookresearch/faiss)

  The most widely used library for similarity search and clustering of dense vectors.

• Local LLM inference

  Ollama Documentation (https://ollama.com)

  Simplest way to run local LLMs with one command.