Transform Your Business with
Intelligent AI Applications
At SoftStackersAI, we leverage cutting-edge generative AI technologies to build intelligent applications that understand, generate, and interact with human language naturally.
Our expertise spans from custom LLM implementations to enterprise-grade RAG architectures.
An infinite ecosystem at our fingertips:
Our Generative AI Expertise
Build domain-specific language models tailored to your industry, trained on your proprietary data for maximum relevance and accuracy.
Custom LLM Development
Deploy Retrieval-Augmented Generation systems that combine the power of large language models with your enterprise knowledge base.
RAG Architecture Implementation
Intelligent Document Processing
Automate document analysis, extraction, and generation with AI that understands context, intent, and business logic.
Create sophisticated chatbots and virtual assistants that provide human-like interactions and intelligent customer support.
Conversational AI Platforms
Technology Stacks
LLM Frameworks: LangChain, LangGraph, Hugging Face Transformers, OpenAI API, Anthropic Claude Vector
Databases: Pinecone, Weaviate, ChromaDB, Qdrant
AWS AI Services: Amazon Bedrock, Amazon Q, SageMaker JumpStart, OpenSearch
MLOps Tools: MLflow, Weights & Biases, DVC, Kubeflow
SoftStackersAI is an AWS cloud consulting company that designs, implements, optimizes, and manages customized AI/ML and GenAI cloud solutions.
Example Retrieval-Augmented Generation architecture:
Amazon Bedrock: Generative AI Embeddings Model
Amazon OpenSearch: Vector Database
Amazon S3 Events: RAG Pipeline
Amazon DynamoDB Streams: RAG Pipeline
AWS Lambda: Handle Metadata and Chunk
Amazon SQS: Queue Management
Amazon S3: Data Source
Amazon DynamoDB: Data Source
Amazon Bedrock: Generative AI Embeddings Model
Amazon DynamoDB: Data Source
Amazon DynamoDB: Data Source
Amazon S3: Data Source
Amazon SQS: Queue Management
AWS Lambda: Handle Metadata and Chunk
Amazon OpenSearch: Vector Database
Amazon S3 Events & Amazon DynamoDB Streams: RAG Pipeline
