bookworm_genai 0.10.1b57

Bookworm - A LLM-powered bookmark search engine

bookworm 📖

LLM-powered bookmark search engine

bookworm allows you to search your locally stored bookmarks using human language.

Install

python -m pip install bookworm_genai

Usage

export OPENAI_API_KEY=

# Run once and then anytime bookmarks across supported browsers changes
bookworm sync

# Sync bookmarks only from a specific browser
bookworm sync --browser-filter chrome

# Ask questions against the bookmark database
bookworm ask

# Ask questions against the bookmark database
# Specify the query when invoking the command
# If you omit this then you will be asked for a query when the tool is running
bookworm ask -q pandas

# Ask questions against the bookmark database and specify the number of results that should come back
bookworm ask -n 1

The sync process currently supports the following configurations:

Operating System	Google Chrome	Mozilla Firefox	Brave	Microsoft Edge
Linux	✅	✅	✅	❌
macOS	✅	✅	✅	❌
Windows	❌	❌	❌	❌

Processes

bookworm sync

python -m bookworm sync

graph LR

subgraph Bookmarks
    Chrome(Chrome Bookmarks)
    Brave(Brave Bookmarks)
    Firefox(Firefox Bookmarks)
end

Bookworm(bookworm sync)

EmbeddingsService(Embeddings Service e.g OpenAIEmbeddings)

VectorStore(Vector Store e.g DuckDB)

Chrome -->|load bookmarks|Bookworm
Brave -->|load bookmarks|Bookworm
Firefox -->|load bookmarks|Bookworm

Bookworm -->|vectorize bookmarks|EmbeddingsService-->|store embeddings|VectorStore

---

bookworm ask

python -m bookworm ask

graph LR

query
Bookworm(bookworm ask)

subgraph _
    LLM(LLM e.g OpenAI)
    VectorStore(Vector Store e.g DuckDB)
end

query -->|user queries for information|Bookworm

Bookworm -->|simularity search|VectorStore -->|send similar docs + user query|LLM
LLM -->|send back response|Bookworm

---

Developer Setup

# LLMs
export OPENAI_API_KEY=

# Langchain (optional, but useful for debugging)
export LANGCHAIN_API_KEY=
export LANGCHAIN_TRACING_V2=true
export LANGCHAIN_PROJECT=bookworm

# Misc (optional)
export LOGGING_LEVEL=INFO

Recommendations:

• Install pyenv and ensure build dependencies are installed for your OS.
• Install Poetry we will be using environment management below.

poetry env use 3.9 # or path to your 3.9 installation

poetry shell
poetry install

bookworm --help

Adding an Integration

As you can see from usage, bookworm supports various integrations but not all. If you find one that you want to support then a change is needed inside integrations.py.

You can see in that file there is a variable called browsers that follows this structure:

browsers = {
    "BROWSER": {
        "PLATFORM": {
            ...
        }
    }
}

So say you wanted to add Chrome support in Windows then you would go under the Chrome key and then add a win32 key which has all the details. You can refer to existing examples but generally the contents of those details are where to find the bookmarks on the user's system along with how to interpret them.

You can also find a full list of the document loaders supported here.