ApertureDB Community Projects*
It's exciting to showcase projects from our community of users and follow their innovative applications.
- To try these out, setup ApertureDB database using one of the options described here.
- Setup your environment to connect and query using one of the options described on our connect page.
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.