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mkdocs.yml
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# Copyright (c) 2016-2024 Martin Donath <[email protected]>
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to
# deal in the Software without restriction, including without limitation the
# rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
# sell copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
# IN THE SOFTWARE.
# Project information
site_name: AI Engineering Academy
site_url: https://aiengineering.academy
site_author: Adithya S Kolavi
site_description: >-
Mastering Applied AI, One Concept at a Time
# Repository
repo_name: adithya-s-k/AI-Engineering.academy
repo_url: https://github.com/adithya-s-k/AI-Engineering.academy
# Copyright
copyright: Copyright © 2024 - 2025 Adithya S Kolavi
# Configuration
theme:
name: material
# custom_dir: material/overrides
features:
- announce.dismiss
- content.action.edit
- content.action.view
- content.code.annotate
- content.code.copy
# - content.code.select
# - content.footnote.tooltips
# - content.tabs.link
- content.tooltips
# - header.autohide
# - navigation.expand
- navigation.footer
- navigation.indexes
# - navigation.instant
# - navigation.instant.prefetch
# - navigation.instant.progress
# - navigation.prune
- navigation.sections
- navigation.tabs
# - navigation.tabs.sticky
- navigation.top
- navigation.tracking
- search.highlight
- search.share
- search.suggest
- toc.follow
# - toc.integrate
palette:
- media: "(prefers-color-scheme)"
- media: "(prefers-color-scheme: light)"
scheme: default
primary: indigo
accent: indigo
- media: "(prefers-color-scheme: dark)"
scheme: slate
primary: black
accent: indigo
font:
text: Roboto
code: Roboto Mono
favicon: assets/favicon.png
icon:
logo: logo
# Plugins
plugins:
- blog
- mkdocs-jupyter:
include_source: true
ignore_h1_titles: true
execute: false
allow_errors: true
ignore_patterns:
- "archives/*"
- mkdocstrings:
default_handler: python
handlers:
python:
rendering:
show_source: true
- search:
separator: '[\s\u200b\-_,:!=\[\]()"`/]+|\.(?!\d)|&[lg]t;|(?!\b)(?=[A-Z][a-z])'
# - minify:
# minify_html: true
# Additional configuration
extra:
status:
new: Recently added
deprecated: Deprecated
analytics:
provider: google
property: !ENV GOOGLE_ANALYTICS_KEY
social:
- icon: fontawesome/brands/github
link: https://github.com/adithya-s-k/AI-Engineering.academy
- icon: fontawesome/brands/python
link: https://github.com/adithya-s-k/AI-Engineering.academy
# - icon: fontawesome/brands/bluesky
# link:
- icon: fontawesome/brands/x-twitter
link: https://x.com/adithya_s_k
# Extensions
markdown_extensions:
- abbr
- admonition
- attr_list
- def_list
- footnotes
- md_in_html
- toc:
permalink: true
- pymdownx.arithmatex:
generic: true
- pymdownx.betterem:
smart_enable: all
- pymdownx.caret
- pymdownx.details
- pymdownx.emoji:
emoji_generator: !!python/name:material.extensions.emoji.to_svg
emoji_index: !!python/name:material.extensions.emoji.twemoji
- pymdownx.highlight:
anchor_linenums: true
line_spans: __span
pygments_lang_class: true
- pymdownx.inlinehilite
- pymdownx.keys
- pymdownx.magiclink:
normalize_issue_symbols: true
repo_url_shorthand: true
user: squidfunk
repo: mkdocs-material
- pymdownx.mark
- pymdownx.smartsymbols
- pymdownx.snippets:
auto_append:
- includes/mkdocs.md
- pymdownx.superfences:
custom_fences:
- name: mermaid
class: mermaid
format: !!python/name:pymdownx.superfences.fence_code_format
- pymdownx.tabbed:
alternate_style: true
combine_header_slug: true
slugify: !!python/object/apply:pymdownx.slugs.slugify
kwds:
case: lower
- pymdownx.tasklist:
custom_checkbox: true
- pymdownx.tilde
not_in_nav: |
/tutorials/**/*.md
# Page tree
nav:
- Home: README.md
- Prompt Engineering:
- Introduciton: PromptEngineering/README.md
- Understanding OpenAI API: PromptEngineering/Understanding_OpenAI_API.md
- Basic Prompt Engineering: PromptEngineering/Basic_Prompting.md
- Advance Prompt Engineering: PromptEngineering/Advanced_Prompting.md
- Prompting Hands On: PromptEngineering/prompt_engineering.ipynb
- Function Calling: PromptEngineering/function_calling.ipynb
- Hands on with Adv Prompting: PromptEngineering/hand_on_with_advanced_prompt_engineering.md
- RAG:
- Introduction: RAG/README.md
- Embedding and Similarity:
- Introduction: RAG/00_RAG_from_Scratch/Understanding_embeddings_and_similarity.ipynb
- RAG Techniques:
- RAG from Scratch:
- Overview: RAG/00_RAG_from_Scratch/README.md
- Implementation: RAG/00_RAG_from_Scratch/RAG_in_10_lines.ipynb
- Basic RAG:
- Overview: RAG/01_Basic_RAG/README.md
- Implementation: RAG/01_Basic_RAG/notebook.ipynb
- Evaluation: RAG/01_Basic_RAG/notebook_eval.ipynb
- BM25 RAG:
- Overview: RAG/01_BM25_RAG/README.md
- Implementation: RAG/01_BM25_RAG/notebook.ipynb
- Data Ingestion:
- Data Chunking: RAG/01_Data_Ingestion/data_chunking.ipynb
- Data Embedding: RAG/01_Data_Ingestion/data_embedding.ipynb
- Data Ingestion: RAG/01_Data_Ingestion/data_ingestion.ipynb
- RAG Evaluation:
- Overview: RAG/01_RAG_Evaluation/README.md
- RAGAS: RAG/01_RAG_Evaluation/RAGAS.ipynb
- DeepEval: RAG/01_RAG_Evaluation/deepeval.ipynb
- TruLens: RAG/01_RAG_Evaluation/trulens.ipynb
- Notebook: RAG/01_RAG_Evaluation/notebook.ipynb
- RAG Observability:
- Overview: RAG/01_RAG_Observability/README.md
- Implementation: RAG/01_RAG_Observability/notebook.ipynb
- ReRanker RAG:
- Implementation: RAG/02_ReRanker_RAG/notebook.ipynb
- Evaluation: RAG/02_ReRanker_RAG/notebook_eval.ipynb
- Hybrid RAG:
- Qdrant Hybrid Search: RAG/03_Hybrid_RAG/_Qdrant_Hybrid_Search.ipynb
- Implementation: RAG/03_Hybrid_RAG/qdrant_hybrid.ipynb
- Sentence Window RAG:
- Implementation: RAG/04_Sentence_Window_RAG/Sentence_window_retrieval.ipynb
- Auto Merging RAG:
- Implementation: RAG/05_Auto_Merging_RAG/Auto-merging_Retrieval.ipynb
- HyDE RAG:
- Implementation: RAG/06_HyDE_RAG/HyDEQueryTransformDemo.ipynb
- Query Transformation RAG:
- Implementation: RAG/06_Query_Transformation_RAG/query_transform_cookbook.ipynb
- Self Query RAG:
- Implementation: RAG/07_Self_Query_RAG/Self_Query_RAG.ipynb
- RAG Fusion:
- Implementation: RAG/08_RAG_Fusion/ragfusion.ipynb
- RAPTOR:
- Implementation: RAG/09_RAPTOR/raptor.ipynb
- ColBERT RAG:
- Implementation: RAG/10_ColBERT_RAG/ColBert_RAG.ipynb
- Ragatouille Retriever: RAG/10_ColBERT_RAG/ragatouille_retriever.ipynb
- Graph RAG:
- Implementation: RAG/11_Graph_RAG/GraphRAG_v1.ipynb
- Agentic RAG:
- Implementation: RAG/12_Agnetic_RAG/multi_document_agents.ipynb
- Vision RAG:
- Implementation: RAG/13_Vision_RAG/gpt4v_multi_modal_retrieval.ipynb
- LLM:
- Introduction: LLM/README.md
- LLM:
- Gemma:
- Overview: LLM/Gemma/README.md
- Implementation: LLM/Gemma/Gemma_finetuning_notebook.ipynb
- Llama2:
- Overview: LLM/LLama2/README.md
- Implementation: LLM/LLama2/Llama2_finetuning_notebook.ipynb
- QLora: LLM/LLama2/Llama_2_Fine_Tuning_using_QLora.ipynb
- Llama3: LLM/Llama3_finetuning_notebook.ipynb
- Mistral:
- Overview: LLM/Mistral-7b/README.md
- Implementation: LLM/Mistral-7b/Mistral_finetuning_notebook.ipynb
- Evaluation: LLM/Mistral-7b/LLM_evaluation_harness_for_Arc_Easy_and_SST.ipynb
- DPO Fine-tuning: LLM/Mistral-7b/notebooks_DPO_fine_tuning.ipynb
- SFT Trainer: LLM/Mistral-7b/notebooks_SFTTrainer TRL.ipynb
- ChatML Inference: LLM/Mistral-7b/notebooks_chatml_inference.ipynb
- Mixtral: LLM/Mixtral/Mixtral_fine_tuning.ipynb
- VLM:
- Florence2: LLM/VLM/Florence2_finetuning_notebook.ipynb
- PaliGemma: LLM/VLM/PaliGemma_finetuning_notebook.ipynb
- LLM Architecture:
- Parameter Count: LLM/LLMArchitecture/ParameterCount/README.md
- Deployment:
- Introduction: Deployment/README.md
- Deploy LLM:
- Overview: Deployment/DeployLLM/README.md
- Quantization:
- AWQ: Deployment/Quantization/AWQ_Quantization.ipynb
- GGUF: Deployment/Quantization/GGUF_Quantization.ipynb
- Agents:
- Overview: Agents/README.md
- Patterns:
- Reflection Pattern: Agents/patterns/reflection_pattern.ipynb
- Tool Pattern: Agents/patterns/tool_pattern.ipynb
- Planning Pattern: Agents/patterns/planning_pattern.ipynb
- Multi-Agent Pattern: Agents/patterns/multiagent_pattern.ipynb
- Projects:
- Multi-Document Agents: Agents/projects/multi_document_agents.ipynb
- Projects:
- Introduction: Projects/README.md
- YouTube Clones:
- Overview: Projects/YT_Clones/README.md
- Fireship Clone: Projects/YT_Clones/Fireship_clone.ipynb
- Dataset Preparation: Projects/YT_Clones/dataset_prep.ipynb
- Blog:
- blog/index.md