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
Unstructured data
Embedding model
Vector DB
Reranker
MCP Server
Your LLM App
Factual responses with lower costs
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
APPROVAL REQUIRED
Budget Approval request
sent to Abhinav
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.
Powered by Best AI Embedding Models and Engineering
High accuracy
Retrieving the most relevant contextual information
Low dimensionality
3x-8x shorter vectors ⇒ cheaper vector search and storage
Low latency
4x smaller model and faster inference with superior accuracy
Cost efficient
2x cheaper inference with superior accuracy
Long-context
Longest commercial context length available (32K tokens)
Modularity
Plug-and-play with any vectorDB and LLM