Choose your focus area
Use the flowchart below to navigate to the article category that matches your interest. Each branch leads to a group of articles organized by theme.AI agent architectures
These articles show how to build intelligent agents that combine semantic retrieval with domain-specific reasoning.AI legal contract intelligence agent
Build an AI-powered legal contract analysis system with cross-collection lookup, retrieval sorted with OrderBy, connection pooling, and quantization-aware search.
AI clinical trial patient matching agent
Build a clinical trial patient matching system using Euclidean and Manhattan distance metrics, scalar quantization, IVF indexing, server-side fusion, and UUID payload indexes.
AI insurance split liability agent
Build an insurance split liability workflow with named vectors, multi-stage prefetch queries, batch search, datetime filters, geo-radius filtering, and payload mutation.
AI network threat hunting agent
Build a network anomaly detection system with SmartBatcher streaming ingestion, full-text search, query batching, nested filters, condition operators, and collection lifecycle management.
Scalable agent memory
Build a scalable agent memory system with cross-collection lookup, retrieval sorted with OrderBy, WAL and optimizer tuning, and strict deletion.
AI recipe recommendation agent
Build a recipe recommendation agent that matches cravings through semantic search, filters by dietary restrictions and ingredients, and learns preferences over time.
Multimodal and retrieval
These articles cover how to combine text, image, and document embeddings for rich retrieval experiences.Multivector document intelligence with Visual RAG
Build a multimodal document intelligence system that embeds PDF pages as images with CLIP and generates answers using GPT-4o vision.
Next-Gen product discovery with multimodal AI
Build a multimodal hybrid search system combining CLIP dense embeddings and BM25 sparse scoring for semantic and keyword product retrieval.
Industry applications
These articles apply vector search to solve real-world problems across specific industries.AI supply chain inventory risk intelligence agent
Build a supply chain risk intelligence workflow with semantic retrieval, payload filters, and a lightweight reasoning layer for stockout prediction.
Financial document analysis
Build AI-powered systems for analyzing financial documents using semantic search and structured metadata filtering.
Facial recognition with vector embeddings
Implement facial recognition using face embeddings and VectorAI DB for identity verification and search.
Avatar-Based assistant for customer support
Build an intelligent avatar assistant that retrieves knowledge and provides personalized customer support.
Article summary
The table below lists every article alongside its domain and the specific VectorAI DB features it covers, so you can find an article based on the capability you want to learn.| Article | Domain | Key VectorAI DB features |
|---|---|---|
| Legal contract intelligence | Legal | Cross-collection lookup, retrieval sorted with OrderBy, connection pooling, quantization |
| Multi-agent systems | Healthcare | Euclidean/Manhattan distance, scalar quantization, IVF, fusion |
| Insurance split liability | Insurance | Named vectors, prefetch, batch search, geo-radius, datetime filters |
| Network threat hunting | Cybersecurity | SmartBatcher, full-text search, query batching, nested filters, condition operators |
| Scalable agent memory | Infrastructure | Cross-collection, WAL tuning, optimizer config, strict deletion |
| Recipe recommendation | Consumer | Semantic search, payload filters, preference learning |
| Visual RAG | Document AI | CLIP embeddings, multimodal retrieval, GPT-4o vision |
| Multimodal product discovery | E-commerce | CLIP + BM25 hybrid search, sparse/dense fusion |
| Supply chain risk | Logistics | Semantic retrieval, payload filters, risk reasoning |
| Financial document analysis | Finance | Semantic search, structured metadata filtering |
| Facial recognition | Security | Face embeddings, identity verification, similarity search |
| Customer support avatar | Customer service | Knowledge retrieval, personalized responses |