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

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

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

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