Get answers from documents, audio, and video with VectorDB-Plugin, a tool for founders with complex data.
intermediate⏱ 30 minutes💵 Free (self-hosted)
369 stars48 forksPythonQuality 9/10Updated 6/18/2026100% free · open source
What it is
Ask questions about your documents, audio, and video files, and get answers instantly.
What you can make with it
Automations like: when a customer sends a message via Slack, use the VectorDB plugin to summarize their issue and respond accordingly.
How it helps
It helps you quickly summarize customer issues and respond accurately, reducing the time spent on support tickets.
Real use case example
"A founder, Sarah, uses the VectorDB plugin to automate her customer support. She sets it up to ask new customers about their products, and it replies with a list of relevant solutions. This way, Sarah can focus on high-priority issues and respond to customers more quickly."
If you're new
Beginners can start by using this plugin to quickly get familiar with how AI-powered customer support works.
If you're senior
Senior engineers and support teams can leverage this plugin to build custom AI-powered automations and integrations.
Common confusion cleared up
This skill doesn't work on its own; you need some basic understanding of Python and AI development to use it effectively.
Best inside these AI tools
Any AI Client
Pairs with
Claude APINotion databaseStripe webhook
Why we list it on WorkflowStacks: We've included this open-source tool to save you money and offer flexibility in your support workflows.
What it does
VectorDB-Plugin allows founders to extract answers and insights from complex data stored in documents, audio, and video files using a question-answering interface.
Install / run
pip install vectordb-plugin
When to use it
•When you need to search and analyze large volumes of unstructured data like documents and media files.
•When you want to build a custom question-answering system for your specific use case or industry.
•When you require a scalable and efficient way to index and query your data for insights.
Quick start
1Clone the GitHub repository using the command `git clone https://github.com/BBC-Esq/VectorDB-Plugin.git`.
2Navigate into the cloned repository using `cd VectorDB-Plugin`.
3Run the setup script using `python setup.py install` to install the plugin and its dependencies.
4Import the VectorDB-Plugin library in your Python script with `import vectordb_plugin`.
5Create a VectorDB instance and start indexing your data using the `vectordb_plugin.VectorDB()` class.
Ready-to-paste prompt
vectordb_plugin.VectorDB().query("What is the main topic discussed in the audio file 'example.mp3'?")
Heads up: Ensure you have the necessary dependencies installed, including `faiss` and `transformers`, which are required for the VectorDB-Plugin to function correctly.
Saves to your device
Topics
bark
database-management
embedding-models
embedding-vectors
embeddings
gtts
koboldai
koboldcpp
python
rag
retrieval-augmented-generation
retrieval-chatbot
tiledb
vector-data-management
vector-database
vector-search
vision
whisper
whispers2t
whisperspeech
What's inside — free to inspect
No purchase needed
Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.
7
top-level files
10
folders
39.7M
repo size
—
license
Key files
__main__.py
config.yaml
README.md
File tree
Assets/
charts/
chat/
core/
CSS/
db/
gui/
modules/
Tokenizer/
tools/
__main__.py
.gitignore
config.yaml
gui.py
README.md
setup_windows.py
splash.png
Quick Actions
Details
Creator
BBC-Esq
Language
Python
Category
support
Published
8/13/2023
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