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With AI, Everyone is a Dev. EveryDev.ai © 2026
    1. Home
    2. Developers
    3. NeuML

    NeuML

    NeuML applies machine learning to solve everyday problems through open-source software, specializing in semantic search and AI workflows.

    Visit Website

    At a Glance

    1Tool Listed
    4Products
    6Capabilities
    Discussions
    Washington DC-Baltimore AreaHeadquarters
    2020Est.
    5Employees
    Focus Areas
    Retrieval-Augmented Generation
    LLM Orchestration
    Vector Databases
    Connect
    Latest News
    NeuML releases txtai v9.9 with zero-dependency build and performance optimizations.May 30, 2026
    NeuML/txtai-wikipedia update released with data through April 2026 and new domain labels.Apr 15, 2026
    Markets
    • Developers
    • Data Scientists
    • Healthcare/Bioinformatics Researchers
    • Enterprise AI Teams

    AI Tools by NeuML

    (1)
    View txtai
    txtai tool icon

    txtai

    AI Search and RAG Framework

    RAGLLM OrchestrationVector Databases

    Discussions

    No discussions yet

    Be the first to start a discussion about NeuML

    Latest News

    05/30/2026

    NeuML releases txtai v9.9 with zero-dependency build and performance optimizations.

    linkedin.com
    04/15/2026

    NeuML/txtai-wikipedia update released with data through April 2026 and new domain labels.

    huggingface.co
    12/31/2025

    NeuML 2025 Year in Review: Recapping growth of ncoder and major txtai updates.

    medium.com
    09/17/2025

    Introducing GraphRAG with Wikipedia and GPT OSS: Deep graph search powered RAG.

    neuml.hashnode.dev

    Products & Services

    4
    txtai
    2020

    An all-in-one embeddings database for semantic search, LLM orchestration, and language model workflows.

    ncoder
    2025

    An open-source AI coding agent that integrates with Jupyter Notebooks for automated code generation and execution.

    paperai
    2020

    An AI-powered search engine for medical and scientific literature, built on top of txtai.

    biomedbert-base-embeddings
    2020

    Specialized medical sentence embedding models derived from PubMedBERT for clinical and research applications.

    Market Position

    NeuML's txtai positions itself as an 'all-in-one' alternative to using separate tools for vector storage (like Pinecone) and orchestration (like LangChain). It focuses on simplicity, portability (local-first), and integrated workflows.

    Leadership

    Founders

    DM

    David Mezzetti

    Founder and CEO of NeuML. Previously co-founded and built Data Works into a successful IT services firm for the national security and defense community (sold to ECS Federal in 2019). Served as VP at ECS Federal post-acquisition. Alumnus of Rensselaer Polytechnic Institute (RPI).

    Executive Team

    DM

    David Mezzetti

    Founder and CEO

    Experienced entrepreneur and software engineer with a background in data science and national security IT services.

    Founding Story

    NeuML was started by David Mezzetti after his previous company, Data Works, was acquired. He launched NeuML to explore the potential of machine learning in solving practical challenges, starting with the CORD-19 challenge for COVID-19 research, which led to the creation of txtai.

    Business Model

    Revenue Model

    NeuML operates on an open-source model (Apache 2.0) and generates revenue through AI consulting services, custom development, and advisory support around their stack.

    Pricing Tiers

    Open Source
    Free

    Full access to txtai and other tools under Apache 2.0 license.

    Consulting Services
    Custom

    Professional services, custom AI workflow development, and implementation support.

    Private

    Target Markets

    Industries & Segments
    • Developers
    • Data Scientists
    • Healthcare/Bioinformatics Researchers
    • Enterprise AI Teams
    Use Cases
    • Semantic search engines
    • Retrieval Augmented Generation (RAG)
    • Scientific and medical literature discovery
    • Automated AI coding assistance
    • Entity extraction and classification
    Notable Customers
    • Kaggle
    • Open source community
    • Clinical research teams using PubMedBERT embeddings

    Quick Facts

    Headquarters
    Washington DC-Baltimore Area
    Founded
    2020
    Entity Type
    LLC
    Employees
    5
    Total Funding
    Bootstrapped
    Office Locations
    Fredericksburg

    History & Milestones

    2026-05

    Release of txtai v9.9, featuring a zero-dependency build and reaching over 12,600 stars on GitHub.

    2025

    Released ncoder, an open-source AI coding agent that integrates with Jupyter Notebooks.

    2024-02

    Release of txtai v7.0, a major update focusing on RAG (Retrieval Augmented Generation) and LLM orchestration.

    2022

    Reached significant community milestones on GitHub (over 5,000 stars) and expanded the library of pre-trained models on Hugging Face.

    2021

    Expansion of txtai capabilities to include hybrid search and integrated vector storage.

    Key Capabilities

    6
    All-in-one embeddings database
    Semantic search and hybrid search
    LLM orchestration and RAG pipelines
    Local-first, zero-dependency options
    Graph-powered retrieval
    AI agents for automated workflows

    Integrations & Partnerships

    Platform Integrations

    • Hugging Face Hub
    • Jupyter Notebooks
    • Streamlit
    • FastAPI
    • Python / Node.js / Go / Rust / Java (via API bindings)

    Key Partnerships

    Hugging Face (model hosting and integration)
    Docker (containerized AI services)
    GitHub (open-source community development)

    Connect

    Website
    neuml.com
    GitHub
    neuml
    Slack
    slack.com/oauth/txtai

    AI Topics

    3

    NeuML focuses on these topics:

    Retrieval-Augmented Generation(1)
    LLM Orchestration(1)
    Vector Databases(1)
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