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 🔎

Graph database implementing the RDF and SPARQL standards. Very fast and scales to more than a trillion triples on a single commodity machine

NucliaDB, The AI Search database for RAG

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

(distributed) vector database

Expose a Top2Vec model with a REST API.

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

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

Please check our new project with similar targets: https://github.com/pixlie/Pixlie

Agent Fusion is a local RAG semantic search engine that gives AI agents instant access to your code, documentation (Markdown, Word, PDF). Query your codebase from code agents without hallucinations. Runs 100% locally, includes a lightweight embedding model, and optional multi-agent task orchestration. Deploy with a single JAR

The semantic search engine where anyone can define anything anywhere

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

V3CTRON | Vector Embeddings Data Retrieval | ChatGPT Plugin

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).

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

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

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.

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