LangChain-based retrieval system
We created a system that reads and searches documents in DOCX, PDF, and TXT. With Postgres pgvector, it quickly finds the right information even in very large datasets.
Retrieval-augmented generation (RAG) chatbot for government institutions
Deployment time
Reduced by 40%Documents processed
MillionsAverage query response
0.8sClient
xFusion Technologies, Inc.Headquarters
Rancho Cordova, California, USAFounded
2010Company size
30–35 employeesIndustry
GovTechTHE CHALLENGE
How can large organizations give employees and partners fast, compliant access to knowledge spread across millions of documents?
xFusion Technologies set out to enhance its AI platform, xAQUA®, with a natural language query system that provides users with precise answers instantly. For enterprise and government clients, this meant the solution had to combine power, flexibility, and security without compromising on any of these aspects.
They selected Relevant Software as their partner because of our proven expertise in advanced AI engineering, large-scale data systems, and compliance-driven development. We were entrusted to deliver a solution that strikes a balance between innovation and the stringent requirements of regulated industries.
The task was far from simple. The new system needed to process multiple file formats, such as DOCX, PDF, and TXT, while integrating seamlessly with both proprietary LLMs like GPT-4 and ChatGPT, and open-access models such as Llama-2 and Mistral. It also had to perform under pressure, supporting thousands of queries daily without delays.
Finally, the architecture had to remain customizable for diverse enterprise and government use cases, while meeting strict security and compliance standards to protect sensitive information.
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Book a free consultationTHE SOLUTION
A RAG framework enabling secure, real-time query responses
Advanced LLM integration framework
We connected the platform to GPT-4 and ChatGPT and made it flexible enough to also work with open models like Llama-2 and Mistral. This gives the client freedom to use the best model for each task.
Optimized query processing
We designed a backend pipeline tuned for both speed and accuracy, even under heavy workloads. This enabled business users to receive precise answers in under a second, without delay.
Customizable Pythonwheel package
We packaged the solution in a simple Python file that drops straight into the client’s platform, making it easy to install and adjust for future needs.
Scalable system architecture
We built the platform to scale horizontally as data and queries grow. This guaranteed stable performance as the client’s needs expanded across industries and regions.
Data security and compliance
We built in encryption, monitoring, and strict access rules. Everything is tracked and aligned with GDPR and ISO 27001 standards, so compliance teams have full confidence.
THE RESULT
5x faster information retrieval compared to legacy search tools
Users accessed relevant answers in seconds, significantly reducing the time analysts spent searching through large document sets.
10,000+ daily queries supported without latency issues
The system handled heavy usage at scale, delivering consistent, real-time performance even under peak loads.
ISO 27001-ready architecture with full encryption and access control
Built-in security and compliance features gave the client confidence in handling sensitive enterprise and government data.
THE CLIENT’S REQUEST
- Enable secure document search across formats
- Integrate multiple LLMs seamlessly
- Maintain low-latency query response
- Ensure compliance and security
- Simplify deployment across environments
WHAT WE DID
✓ Built a LangChain + pgvector retrieval system
✓ Created a framework that supports GPT-4, ChatGPT, Llama 2, and Mistral
✓ Optimized backend and indexing pipeline to sub-second response
✓ Embedded encryption, monitoring, and audit controls; validated against GDPR and ISO 27001
✓ Packaged as a Python wheel with Docker and AWS for easy rollout
Sanjib NayakFounder & CEO, xFusion TechnologiesTheir skill, spirit to build the right solution, sense of ownership, and responsiveness are all impressive.
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