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"

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

(distributed) vector database

Local code search combining BM25, vector similarity, and cross-encoder reranking. Parses 60+ languages with tree-sitter, runs entirely offline, and returns structured results with file paths, line ranges, and symbol metadata. Built in Rust.

Expose a Top2Vec model with a REST API.

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

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

Codexa is a local semantic code intelligence CLI designed to help AI assistants and developers understand large codebases faster. It indexes repositories, parses code structure, generates embeddings, and enables powerful semantic search across functions, classes, and modules.

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/#/

High-performance late-interaction retrieval engine for on-prem AI. ColBERT/ColPali multi-vector search with Rust fused MaxSim, Triton GPU kernels, ROQ quantization, LEMUR routing, WAL-backed CRUD, and a FastAPI server — single machine, CPU or GPU.

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