Beyond Keywords: Optimizing Vector Search with Filters and Caching (Part 2)
Welcome back! If you landed here without reading Part 1: Beyond Keywords: Implementing Semantic Search in Java With Spring Data, I recommend …
AI
How Chat Memory Manipulation Can Ruin Your AI System
Did you know that by tampering with chat history, you're able to make LLMs respond and execute functions that are out of policy?
7 habits of Highly Effective Java Coding
Habits to work with the AI to write code that's actually good—solid, secure, and won't give the next person on your team a headache or your …
JC-AI Newsletter #7
Fourteen days have passed, and it is time to present a fresh collection of readings that could influence developments in the field of …
Keywords Meet Vectors: Hybrid Search on MongoDB
Hybrid search in MongoDB brings together two complementary search techniques: Full text search (BM25 via Atlas Search)—optimized for exact …
Agents Meet Databases: The Future of Agentic Architectures
With 2025 hailed as "the year of agents" by NVIDIA CEO Jensen Huang and OpenAI CPO Kevin Weil, AI agents are increasingly of interest to …
JC-AI Newsletter #6
Fourteen days have passed, and it is time to present a fresh collection of readings that could influence developments in the field of …
Building an AI Semantic Movie Recommender with Vector Search
Last time, we created a vector search index in a local MongoDB Atlas cluster. Now, let’s put it to work with a real case: building an …
Payara Server Maven Plugin + AI Agent
Imagine managing your Jakarta EE applications not just with Maven goals, but by asking natural questions.
Power your AI application with Vector Search
MongoDB Vector Search enables semantic queries. For example, finding support tickets with similar meanings even if they use different words. …