AI Access to Your Business Knowledge
Your organization’s knowledge is spread across documents, policies, manuals, reports, websites, databases and knowledge bases. Retrieval-Augmented Generation (RAG) enables AI applications to retrieve relevant enterprise information and use it to generate grounded responses. NexInt AI builds enterprise knowledge systems that make your business information accessible through natural language.
Knowledge Systems Built Around Your Business Information
From internal assistants to regulatory knowledge systems, we build RAG applications grounded in your actual enterprise content.
- Enterprise RAG systems
- Internal knowledge assistants
- Document Q&A
- Intelligent enterprise search
- Knowledge bases
- Technical documentation assistants
- Policy assistants
Our Core Data Platforms
Pinecone
Build powerful AI applications with Pinecone to store, search, and retrieve vector data efficiently for intelligent, scalable experiences.
- Pinecone development & implementation
- Vector database setup & management
- Semantic search & similarity search
- RAG application development
- Embedding integration & management
- AI knowledge base development
- Metadata filtering & indexing
- Managed support & optimization
pgvector
Build scalable AI applications with pgvector to store, search, and manage vector embeddings directly within PostgreSQL databases.
- pgvector development & implementation
- Vector storage & database management
- Semantic & similarity search
- RAG application development
- Embedding generation & integration
- Vector indexing & optimization
- Metadata filtering & hybrid search
- Managed support & optimization
Answers Grounded in Your Own Knowledge
Generic AI can't answer questions about your policies, contracts, or internal documentation. NexInt AI builds RAG systems that retrieve the right information from across your organization — documents, databases, SharePoint, and more — so every response is grounded in what your business actually knows.
- Enterprise RAG systems connected to PDFs, SharePoint, databases, and CRM/ERP
- Document Q&A and intelligent enterprise search across all your content
- Chunking, enrichment, and embeddings built for retrieval accuracy
- Policy, contract, and regulatory knowledge systems for high-stakes content
How We Build Your Knowledge System
Discover
Identify the knowledge sources, use cases, and users the system needs to serve.
Ingest
Connect and process data from PDFs, documents, SharePoint, websites, and databases.
Structure
Chunk, enrich, and embed content for accurate retrieval and indexing.
Build
Develop the RAG application — knowledge assistant, document Q&A, or enterprise search.
Validate & Improve
Test grounded response accuracy and continuously refine retrieval quality.
Solving Knowledge Access Challenges Across Industries
We help organizations make their business knowledge accessible through natural language, across every part of the business.
Manufacturing
Healthcare
BFSI
Retail
Logistics
Education
Ready to Give AI Access to Your Business Knowledge?
Talk to our experts and discover how a RAG-powered knowledge system can turn your documents, policies, and data into grounded, accessible answers.