Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

🧠 AI-powered enterprise search engine 🔎

NucliaDB, The AI Search database for RAG

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

Very fast SPARQL Engine, which can handle very large knowledge graphs like the complete Wikidata, offers context-sensitive autocompletion for SPARQL queries, and allows combination with text search. It's faster than engines like Blazegraph or Virtuoso, especially for queries involving large result sets.

(distributed) vector database

Expose a Top2Vec model with a REST API.

Document Search Engine project with TF-IDF abd Google universal sentence encoder model

The semantic search engine where anyone can define anything anywhere

V3CTRON | Vector Embeddings Data Retrieval | ChatGPT Plugin

Serverless, lightweight, and fast vector database on top of DynamoDB

LitePali is a minimal, efficient implementation of ColPali for image retrieval and indexing, optimized for cloud deployment.

Deeplearing based Reverse Image Search using Annoy library

E-commerce intelligent search platform. Pinecone/Devpost Hackathon 2023.

[WIP] Behold, semantic-search, built over sentence-transformers to make it easy for search engineers to evaluate, optimise and deploy models for search.

Mining and Utilizing Dataset Relevancy from Oceanographic Datasets to Improve Data Discovery and Access, online demo: https://mudrod.jpl.nasa.gov/#/

PACE (Podcast AI for Chapters and Episodes) is a semantic search engine that helps you find the information you need, inter- and intra-podcasts (Project for the AssemblyAI Winter 2022 Hackathon).

MedSearch is a Medical Knowledge Extraction System that incorporates Neural Search, Q&A, Summarization, etc. from the medical literature.

graph + ai in your products; reduce costs and get correct answers from your data

Full example of semantic search system