Building an AI application usually means stitching together half a dozen systems: a relational database for app state, a vector store for embeddings, a graph database for relationships, and glue code to keep them in sync. HelixDB is an open-source database that tries to collapse that stack into one engine …

What is HNSW?

HNSW (Hierarchical Navigable Small World) — is a graph-based algorithm used for fast approximate nearest neighbor (ANN) search. It is widely used in vector databases and AI applications to quickly find vectors that are most similar to a given query.

When an AI system stores thousands or millions …

The Problem Nobody Talks About Loudly

Retrieval-Augmented Generation — RAG — has quietly become the default way to make LLMs actually useful with real-world documents. You index a PDF, embed the chunks, retrieve the relevant ones at query time, and pass them to the model. It works. People ship it.

But there's …

Have You Ever Asked a Chatbot a Question and Been Amazed It Found the Right Answer Instantly?

From thousands of documents, almost instantly — the exact right piece of information. Ever wondered how that actually works under the hood?

The answer often involves a tool called FAISS. It sounds technical, but …