search

This repo accelerates development of RAG applications with rich data sources including SQL Warehouses and documents analysed with Azure Document Intelligence

🔵🔎 Findto is a decentralized search assistant for AI and Web.

A configurable engine for analysing multi-lingual and multi-modal content.

High-quality search for AI-native applications.

Full-stack Generative Video Cloud

Perplexity style AI answer engine for AI PCs with CPU,GPU and NPU support

Your agent seeks what search can't find. A self-hosted perception MCP server that transcribes speech, reads behind logins, sees images and video frames, crosses languages, and remembers.

Async bulk data ingestion and querying in various document, graph and vector databases via their Python clients

Embedded-first vector database that grows into a self-hosted service and lightweight cluster.

Piazza-Updater automates updates to a Weaviate database with real-time vectorial data. By continuously searching the internet and integrating with Verba repositories, it enhances retrieval-augmented generation (RAG) capabilities, keeping your applications informed and responsive.

On-device Speech-to-Index engine powered by deep learning

Shotit is a screenshot-to-video search engine tailored for TV & Film, blazing-fast and compute-efficient.

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

Search knowledge by what documents mean and how they look — not one or the other.

Qdrant operator creates and manages Qdrant clusters running in Kubernetes

Typical use cases of opensearch serverelss: search, time-series, kinesis firehose integration, securing with VPC

A tool for performing semantic search within pdf documents leveraging sentence transformers.

VortexDB - A lightweight, vector database built from scratch in Rust 🦀

A Model Context Protocol (MCP) server that provides agentic search capabilities with support for vector search using Qdrant, full-text search using TiDB, or both combined.