• Home
  • Categories
  • Pricing
  • Submit
    Built with
    Ever Works
    Ever Works

    Connect with us

    Stay Updated

    Get the latest updates and exclusive content delivered to your inbox.

    Product

    • Categories
    • Pricing
    • Help

    Clients

    • Sign In
    • Register
    • Forgot password?

    Company

    • About Us
    • Admin
    • Sitemap

    Resources

    • Blog
    • Submit
    • API Documentation
    All product names, logos, and brands are the property of their respective owners. All company, product, and service names used in this repository, related repositories, and associated websites are for identification purposes only. The use of these names, logos, and brands does not imply endorsement, affiliation, or sponsorship. This directory may include content generated by artificial intelligence.
    Copyright © 2025 Awesome Vector Databases. All rights reserved.·Terms of Service·Privacy Policy·Cookies
    Decorative pattern
    Decorative pattern
    1. Home
    2. Search & Retrieval
    3. OpenSearch

    OpenSearch

    AWS-backed open-source search and analytics suite with vector search capabilities via faiss and nmslib engines, neural search plugins, and tight AWS ecosystem integration.

    Surveys

    Loading more......

    Information

    Websiteopensearch.org
    PublishedApr 4, 2026

    Categories

    1 Item
    Search & Retrieval

    Tags

    5 Items
    #aws#faiss#nmslib#neural-search#open-source

    Similar Products

    6 result(s)

    RankT5

    Open-source reranking model that uses an encoder-decoder (T5) architecture, fine-tuned to generate classification tokens indicating whether query-document pairs are relevant or irrelevant. Formulates document ranking as a generation task.

    RankZephyr

    Open-source reranking model based on fine-tuned decoder-only LLMs (LLaMA family), designed for listwise document reranking in RAG pipelines. RankZephyr leverages supervised fine-tuning on ranking datasets to improve query-document relevance scoring beyond what zero-shot LLM prompts can achieve.

    BGE-VL

    State-of-the-art multimodal embedding model from BAAI supporting text-to-image, image-to-text, and compositional visual search. Trained on the MegaPairs dataset with over 26 million retrieval triplets.

    Featured

    Qwen3 Embedding

    Multilingual embedding model supporting over 100 languages and ranking #1 on MTEB multilingual leaderboard. Offers flexible model sizes from 0.6B to 8B parameters with user-defined instructions.

    Featured

    Apache Cassandra Vector Search

    Distributed NoSQL database with vector search capabilities via Storage-Attached Indexes (SAI) in Cassandra 5.0+. Uses Lucene HNSW for approximate nearest neighbor search. This is an OSS database under Apache 2.0 license.

    Featured

    Elasticsearch Vector Search

    Search and analytics engine with k-nearest neighbor (kNN) search for semantic similarity. Features approximate and exact kNN, HNSW indexing, and advanced quantization. This is commercial with OSS version available.

    Featured

    OpenSearch

    Category: Search & Retrieval
    Tags: aws, faiss, nmslib, neural-search, open-source

    Website

    Description

    OpenSearch is an open-source, community-driven search and analytics suite built on Apache Lucene. It provides a transparent and flexible alternative for organizations seeking advanced search, analytics, and observability features at scale.

    Features

    • Search and Analytics Engine: Powerful search and analytics capabilities built on Apache Lucene.
    • Vector Search: Supports vector search via faiss and nmslib approximate nearest neighbor engines, enabling AI and machine learning-powered applications.
    • Neural Search: Neural search plugins for semantic retrieval and hybrid search combining dense retrieval with traditional keyword search.
    • Machine Learning & AI: Built-in tools for anomaly detection and integration with generative AI.
    • Data Visualization: OpenSearch Dashboards for visually exploring and querying data.
    • Data Ingestion: OpenSearch Data Prepper for enriching, transforming, and aggregating data.
    • Observability: Performance monitoring and log analysis for applications and infrastructure.
    • Security Analytics: Real-time threat detection, threat intelligence, and event correlation.
    • E-Commerce & Document Search: Optimized for advanced e-commerce and document search use cases.
    • Performance Benchmarks: Tools to measure and view performance metrics across workloads.
    • Open API Clients: Language APIs for integrating OpenSearch into applications.
    • Community Driven: Extensive community resources, forums, and open development model.
    • AWS Ecosystem Integration: Tight integration with Amazon OpenSearch Service and broader AWS services.
    • Scalability: Designed for handling large volumes of unstructured data at enterprise scale.
    • Open Source License: Apache 2.0-licensed, with active development under the Linux Foundation.

    Pricing

    OpenSearch is free and open source, licensed under the Apache 2.0 license. Amazon OpenSearch Service offers managed hosting with pay-as-you-go pricing.