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ApertureDB Community Projects*

It's exciting to showcase projects from our community of users and follow their innovative applications.

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Conference Content Search Agent with LangGraph, ApertureDB, and Gemini​

This project in collaboration with Ayesha Imran gives an agentic way to find interesting talks, analyze speaker information, and do semantic search on talk descriptions / videos / pdfs when available. This particular project is based on the data provided by the MLOps World team for their 2024 and 2025 conferences.

You can try the agent out yourself and share feedback on our slack for improvements, or contribute to its improvement on the github repository.

Multimodal RAG with unstructured.io, and ApertureDB​

This project by Haziqa Sajid enables the embedding of text and other modalities within a document using unstructured.io and ApertureDB as a multimodal vector + document database. It provides functionality to compare any omissions in healthcare advertising with OpenAI LLM.

You can read the detailed blog post or try out the code yourself from this github repository.

GraphRAG with Langchain, Gemini, and ApertureDB​

This project by Ayesha Imran enables the extraction and entitiy resolution to create a graph of entities in a PDF which can in turn be used for search & retrieval based on GraphRAG. The project is built with LangChain as the framework Google Gemini as the model, and ApertureDB as a graph as well as vector database. It provides functionality to download, process, and semantically search research papers using LangChain.

You can read the blog series, try out the code yourself from this github repository, or watch a video where Ayesha explains how she built the example.

Agentic RAG with ApertureDB and HuggingFace SmolAgents​

This project by Haziqa Sajid enables the retrieval and embedding of scientific papers from ArXiv using OpenAI embeddings and ApertureDB as a vector database. It provides functionality to download, process, and semantically search research papers using LangChain.

You can read the detailed blog post or try out the code yourself from this github repository.

Chat with Podcast Content​

This project uses advanced AI tools to provide semantic search and a chat interface for analyzing and interacting with podcast transcript files. By integrating powerful AI technologies, this tool enables users to glean valuable insights and conduct meaningful searches through podcast content.

You can read the detailed blog post or try the code yourself from this github repository.

LlamaIndex Connector for RAG​

The team from AIMon Labs built a connector to LlamaIndex in order to enable their documentation chatbot with ApertureDB vector search. They also have a recipe on how to improve the accuracy of your RAG-LLM chatbot with AIMon and ApertureDB that uses this connector.

ApertureDB NodeJS SDK​

Users wanting to access ApertureDB from a Javascript interface can use the Node.js SDK developed by Peyton Casper (founder of CoffeeBlack.ai) for interacting with ApertureDB, providing a simple and intuitive interface for database operations.


* The projects listed on this page are developed by third parties. ApertureData is not responsible for, and disclaims all liability with respect to, the contents of these projects, as set forth in our Website Terms of Use.