01
Custom RAG for your documents
An LLM agent built around how your business asks questions. It searches your documents, cites the passage, and analyzes what they say.
Intelligence layer
AI & Data Engineering
A custom RAG agent that reads your documents and answers from your own data.
Custom RAG agents for your business. They analyze documents, connect databases and files, and generate analytical insights inside the application you already run.
- LangChain
- LLM agents
- OpenAI
- Claude
- AWS Bedrock
- Ollama
We build an agent for your business. It retrieves from your documents, databases, and files, then answers with the source it used.
Agents are built with LangChain. The model is OpenAI or Claude, AWS Bedrock when the workload should stay on AWS, or Ollama when a small business wants a local model. The agent then sits inside the application you already have and turns that data into analytical insights.
Start this engagementWhat this covers
02
LangChain, and the model that fits
LangChain wires the agent to your sources. OpenAI and Claude for hosted models, AWS Bedrock when it should run on AWS, and Ollama for small-business use cases that need a local model.
03
Insights in the application you have
Useful analytical insights where the product already lives: summaries, comparisons, and answers inside the screens your team uses.
04
Databases, files, and the rest
Connect the sources the business actually keeps — databases, file stores, documents, and catalogs — through one retrieval path. Every answer points back to the document, row, or file it came from.
01
Sources
Decide which documents, databases, and files the agent may read.
02
Retrieve
Index them so a question finds the right passage or record.
03
Analyze
Turn that retrieval into the insights the business asks for.
04
Place
Put the agent in the application people already open.
What you receive
- A custom RAG agent scoped to your documents and questions
- Connections from the agent to your databases, files, and other sources
- Analytical insights inside the existing application
- Citations and limits for what the agent will answer
What changes
- An agent that analyzes your documents
- Insights generated from your own databases and files
- Answers available inside the application you already run