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     </li>
     <li class="d-inline-block mr-1 hugging-face-li">
-        <a href="https://huggingface.co/llmware"><span><img src="assets/images/hf-logo.svg" alt="Hugging Face" class="hugging-face-logo"/></span></a>
+        <a href="https://huggingface.co/llmware">
+            <span>
+                {% for static_file in site.static_files %}
+                    {% if static_file.basename == "hf-logo"%}
+                        {% assign hf_logo = static_file %}
+                    {% endif %}
+                {% endfor %}
+
+                <img src="{{ site.url }}{{ hf_logo.path }}" alt="Hugging Face" class="hugging-face-logo"/>
+            </span>
+        </a>
     </li>
     <li class="d-inline-block mr-1">
         <a href="https://www.youtube.com/@llmware"><i class="fa-brands fa-youtube"></i></a>

docs/contributing/code.md

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+---
+layout: default
+title: Code contributions
+parent: Contributing
+nav_order: 1
+permalink: /contributing/code
+---
+# Contiributing code
+One way to contribute to ``llmware`` is by contributing to the code base.
+
+We briefly describe some of the important modules of ``llmware`` next, so you can more easily navigate the code base.
+You may also take a look at our [fast start series from YouTube](https://www.youtube.com/playlist?list=PL1-dn33KwsmD7SB9iSO6vx4ZLRAWea1DB).
+
+## Core modules
+
+### Library
+<iframe width="560" height="315" src="https://www.youtube.com/embed/2xDefZ4oBOM?si=IAHkxpQkFwnWyYTL" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
+The *library* module implements the classes **Library** and **LibraryCatalog**.
+The **Library** class implements the *library* concept.
+A *library* is a collection of documents, where a document can be PDF, an image, or an office document.
+It is responsible for parsing, text chunking, and indexing.
+In other words, it does the heavy lifting of adding content.
+In the following, we shortly describe the functions for adding documents to the library.
+
+```python
+add_file(
+    self,
+    file_path):
+```
+This method adds one document of any supported type to the library.
+
+```python
+add_files(
+    self,
+    input_folder_path=None,
+    encoding="utf-8",
+    chunk_size=400,
+    get_images=True,get_tables=True,
+    smart_chunking=2,
+    max_chunk_size=600,
+    table_grid=True,
+    get_header_text=True,
+    table_strategy=1,
+    strip_header=False,
+    verbose_level=2,
+    copy_files_to_library=True):
+```
+This method adds the documents of one folder to the library.
+
+```python
+add_website(
+    self,
+    url,
+    get_links=True,
+    max_links=5):
+```
+This method adds a website, and links from the website, to the library.
+
+```python
+add_wiki(
+    self,
+    topic_list,
+    target_results=10):
+```
+This method adds a wikipedia article to the library.
+
+```python
+add_dialogs(
+    self,
+    input_folder=None):
+```
+This method adds an AWS dialog transcript to the library.
+
+```python
+add_image(
+    self,
+    input_folder=None):
+```
+This method adds images to the libary.
+
+```python
+add_pdf_by_ocr(
+    self,
+    input_folder=None):
+```
+This method adds scanned PDFs to the library.
+
+```python
+add_pdf(
+    self,
+    input_folder=None):
+```
+This method adds PDFs to the library.
+
+```python
+add_office(
+    self,
+    input_folder=None):
+```
+This method adds office documents to the library.
+
+### Embeddings
+<iframe width="560" height="315" src="https://www.youtube.com/embed/xQEk6ohvfV0?si=GAPle5gVdVPkYKWv" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
+An *embedding* is a vector store and an embedding model.
+It is responsible for applying an embedding model to a library, storing the embeddings in a vector store, and providing access to the embeddings with natural language queries.
+We briefly describe the common methods offered by all vector stores below.
+
+```python
+def create_new_embedding(
+    self,
+    doc_ids=None,
+    batch_size=500):
+```
+This method creates the embeddings and adds them to the vector store.
+
+```python
+def search_index(
+    self,
+    query_embedding_vector,
+    sample_count=10):
+```
+This method searches the vector store given the query vector.
+
+```python
+def delete_index(self):
+```
+This method deletes the created vector store index.
+
+
+### Prompts
+<iframe width="560" height="315" src="https://www.youtube.com/embed/swiu4oBVfbA?si=rKbgO3USADCqICqr" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
+A *prompt* is an input to model.
+The prompt is used by the model to generate the response.
+One important use case is that users want to augment a prompt, or a series of prompts, with additional information.
+Next, we describe methods for augmenting a prompt with additional information.
+
+```python
+def add_source_new_query(
+    self,
+    library,
+    query=None,
+    query_type="semantic",
+    result_count=10):
+```
+This method adds the results of the ``query`` to the prompt.
+
+```python
+def add_source_query_results(
+    self,
+    query_results):
+```
+This method adds previous results from a query as a source to the prompt.
+
+```python
+def add_source_library(
+    self,
+    library_name):
+```
+This method adds an entire library to the prompt.
+We recommend that you only use this when the library is sufficiently small.
+
+```python
+def add_source_wikipedia(
+    self,
+    topic,
+    article_count=3,
+    query=None):
+```
+This method adds wikipedia articles to the prompt based on the provided ``topic``.
+
+```python
+def add_source_yahoo_finance(
+    self,
+    ticker=None,
+    key_list=None):
+```
+This method adds a Yahoo finance ticker to the prompt.
+
+```python
+def add_source_knowledge_graph(
+    self,
+    library,
+    query):
+```
+This method adds the summary output elements from a knowledge graph based on the provided ``query``.
+Please note that this method is experimental, i.e. unstable, and is subject to change dramatically in each new version.
+
+```python
+def add_source_website(
+    self,
+    url,
+    query=None):
+```
+This method adds the website pointed to by the ``url`` to the prompt.
+
+```python
+def add_source_document(
+    self,
+    input_fp,
+    input_fn,
+    query=None):
+```
+This method adds a document, or documents, of any supported type to the prompt.
+If documents are added, then the ``query`` parameter can be used to filter the documents.
+
+```python
+def add_source_last_interaction_step(
+    self):
+```
+This method adds the last interaction to the prompt.
+The use case for this is to enable interactive dialog, i.e. chatting.
+
+### Model Catalog
+A *model catalog* is a collection of models.
+In the following, we briefly describe the methods for adding new models to the catalog.
+
+```python
+def register_new_hf_generative_model(
+    self,
+    hf_model_name=None,
+    context_window=2048,
+    prompt_wrapper="<INST>",
+    display_name=None,
+    temperature=0.3,
+    trailing_space="",
+    link=""):
+```
+This method adds a new generative model from hugging face.
+Users can therefore add models from hugging face that are unsupported currently.
+
+```python
+def register_sentence_transformer_model(
+    self,
+    model_name,
+    embedding_dims,
+    context_window,
+    display_name=None,
+    link=""):
+```
+This method adds a new sentence transformer.
+
+```python
+def register_gguf_model(
+    self,
+    model_name,
+    gguf_model_repo,
+    gguf_model_file_name,
+    prompt_wrapper=None,
+    eos_token_id=0,
+    display_name=None,
+    trailing_space="",
+    temperature=0.3,
+    context_window=2048,
+    instruction_following=True):
+```
+This method adds a new GGUF model.
+
+```python
+def register_open_chat_model(
+    cls,
+    model_name,
+    api_base=None,
+    model_type="chat",
+    display_name=None,
+    context_window=4096,
+    instruction_following=True,
+    prompt_wrapper="",
+    temperature=0.5):
+```
+This method adds any chat model that is available through a web API, e.g. a chat model that is available locally
+via localhost.
+
+```python
+def register_ollama_model(
+    cls,
+    model_name,
+    host="localhost",
+    port=11434,
+    model_type="chat",
+    raw=False,
+    stream=False,
+    display_name=None,
+    context_window=4096,
+    instruction_following=True,
+    prompt_wrapper="",
+    temperature=0.5):
+```
+This method adds an OLLama model that is available through a web API.
+The method is similar to the ``register_open_chat_model`` method above.
+
+### Categories of code contributions
+
+#### New or Enhancement to existing Features
+You want to submit a code contribution that adds a new feature or enhances an existing one?
+Then the best way to start is by opening a discussion in our [GitHub discussions](https://github.com/llmware-ai/llmware/discussions).
+Please do this before you work on it, so you do not put effort into it just to realise after submission that
+it will not be merged.
+
+#### Bugs
+If you encounter a bug, you can
+
+- File an issue about the bug.
+- Provide a self-contained minimal example that reproduces the bug, which is extremely important.
+- Provide possible solutions for the bug.
+- Submit a pull a request to fix the bug.
+
+We encourage you to read [How to create a Minimal, Reproducible Example](https://stackoverflow.com/help/minimal-reproducible-example) from the Stackoverflow helpcenter, and the tag description of [self-container](https://stackoverflow.com/tags/self-contained/info), also from Stackoverflow.