hybrid-search

(3)
Company
Shaped
Ai · Saas · Developer Tools

Shaped

Shaped is a New York-based AI company that builds a real-time relevance engine for recommendations, search, and agent retrieval. Its managed platform, Shaped Cloud, combines embeddings, machine-learning models, and fresh behavioral data to return personalized results in under 50 milliseconds, letting product and engineering teams add for-you feeds, hybrid search, and personalized discovery without building ranking infrastructure from scratch. Founded in 2021 by Tullie Murrell, Daniel Camilleri, and Shai Bruhis, the company raised an $8M Series A led by Madrona in 2024 and was acquired by live-commerce marketplace Whatnot in July 2026.

recommendation-systems · personalizationRead →
Company
Orama
Ai · Developer Tools · Saas

Orama

Orama is an open-source search company building an 'answer engine' for developers - a lightweight, high-performance stack that bundles full-text, vector, and hybrid search with automatic embedding generation and built-in LLMs. Started as the open-source project Lyra and incorporated as OramaSearch Inc. in 2023 by Issac Roth and Michele Riva, its core library ships in under 2KB and runs in the browser, on servers, or at the edge. Orama powers site search and AI answers for developer platforms including nodejs.org, tanstack.com, and solidjs.org, and its OramaCore runtime packages a search engine, vector database, and LLM interface into one deployable unit.

search-engine · vector-databaseRead →
Company
LanceDB
Ai · Developer Tools · Enterprise

LanceDB

LanceDB builds the data backbone for multimodal AI. Its open-source Lance columnar format and lakehouse let teams store, search, and train on text, images, video and embeddings in one system - replacing the brittle stack of Parquet files, vector stores and feature pipelines that AI teams usually stitch together. Used by Midjourney, Runway, Character.AI, WeRide and others, LanceDB raised a $30M Series A in 2025, bringing total funding to roughly $41M.

vector-database · multimodal-aiRead →