Building an Agentic NLQ System for Real Estate Search
Learn how to build an agentic NLQ system that transforms real estate search using AI...
September 19, 2025
Build RAG using LangChain & Superlinked
Learn to build advanced RAG systems with LangChain & Superlinked. Master multi-space vector indexing, custom...
August 12, 2025
How We Approached Building a Custom Steam Games Retriever with Superlinked and LlamaIndex
Learn how to build powerful custom retrievers for RAG systems by combining Superlinked with LlamaIndex....
August 11, 2025
Beyond Multimodal Vectors: Hotel Search With Superlinked and Qdrant
Learn how Superlinked and Qdrant enable advanced multimodal search with natural language queries. Handle complex...
July 10, 2025
Take your vector systems to production
Superlinked is a Python framework for AI Engineers building high-performance search & recommendation applications that combine structured and unstructured data.
Build with Superlinked
Featured videos
View All
Conversational Jobs & Hotels search with metadata-aware embeddings
Mixture of Encoders A Vector Native Approach to Search
Metadata aware Vector Embedding Models
Metadata-aware Vector Embedding MoE Models
Natural Language Search on Semi-Structured Data
Vector Search Over Complex Semi Structured Data | MongoDB.local London
Recipes
Real world production ready use cases for Natural Language Search, Recsys and more.
Hotel Search
This project is a demonstration of a hotel search system built using Superlinked. It allows users to search for hotels based on various criteria such as description, price, rating, and more, all through natural language queries.
Ecommerce Recommendation
Experience the power of Superlinked with a live app handling multi-modal product data & metadata encoding for improved retrieval quality, control and explainability, and see how we built it.
Join 2000+ readers and get the best, coolest, and latest in vector and AI world in your inbox every month.
Tools for you to develop with vectors
Try Superlinked
