Supercharging
Search and Retrieval
for Unstructured Data

🌲 MCP based APIs for your Generative AI Roadmap, with best-in-class embeddings and reranking

Embeddings and Rerankers Drive RAG Retrieval and Response Quality

How to Use

|InfraHive AI

Large language models thrive when powered with clean, curated data. But most of this data is hard to find, hard to work with, and hard to clean. We make it easy.

Quote #1905 - $250,182.00
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ACCOUNT PAYABLES

Structured data for your AI Agents to automate AP

Seamlessly integrate with CRMs like Salesforce, HubSpot, or Airtable,with data ready for AI-driven automation.
Automate 2-way/3-way matching against Purchase Requestsusing structured data, streamlining workflows.
Structured data that can be directly plugged into LLMs to optimize supply chain and enable 50% faster order processing.
LEGAL

Build AI Agents for Legal Teams

Automate drafting and vetting of legal documents.
Compare and analyze multiple agreements.
Combine internet and internal data for automated legal research.
Transform unstructured data into actionable legal insights.
Decorative
Feature

Powered by Best AI Embedding Models and Engineering

  • High accuracy

    High accuracy

    Retrieving the most relevant contextual information

  • Low dimensionality

    Low dimensionality

    3x-8x shorter vectors ⇒ cheaper vector search and storage

  • Low latency

    Low latency

    4x smaller model and faster inference with superior accuracy

  • Cost efficient

    Cost efficient

    2x cheaper inference with superior accuracy

  • Long-context

    Long-context

    Longest commercial context length available (32K tokens)

  • Modularity

    Modularity

    Plug-and-play with any vectorDB and LLM