This project showcases the integration of the GEMMA 7B language model with GROQ to process a fixed PDF document, convert its content into a vector database, and provide an interactive Q&A interface ...

By leveraging the power of Spark, we can efficiently ingest and embed PDF files into Milvus, a vector database designed for similarity search and high-dimensional data storage. This enables us to ...

Vector databases are all the rage, judging by the number of startups entering the space and the investors ponying up for a piece of the pie. The proliferation of large language models (LLMs) and ...

Though vector support in databases has become table stakes in 2024, it’s often up to users to figure out and manage the process of converting existing data into vector embeddings.

A vector database is just like any other database in that it stores data. From there, the similarity mostly ends — especially when it comes to artificial intelligence. Most traditional databases ...

Vector databases, on the other hand, store and process data in the form of vector embeddings, which convert text, documents, images, and other data into numerical representations that capture the ...