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Service Profile
AI Development & LLM Integration
Cognitive AI Systems and Autonomous Workflows
Transform your startup or enterprise operations with generative AI. We fine-tune LLMs, build custom Retrieval-Augmented Generation (RAG) databases, construct intelligent support agents, and design neural computer vision pipelines optimized for custom business parameters.
Engine Features
- Retrieval-Augmented Generation (RAG) with Vector Databases
- Custom Fine-tuning of open-source LLMs (Llama, Mistral)
- Autonomous conversational customer-support chatbots
- Neural object detection & computer vision classifications
- Vector embeddings setup (Pinecone, pgvector, Redis)
Business ROI Benefits
- Reduce customer support response times by up to 70%
- Automate complex classification operations dynamically
- Provide secure, vector-indexed company document searching
Technology Stack
OpenAI APIClaude APIGemini APILangChainFastAPIPinecone
Project Execution Process
01Phase 1Data Cleansing & Vector Indexing Design
02Phase 2LLM Context window tuning
03Phase 3Backend Integration & Prompt Orchestrations
04Phase 4Safety Guardrails & Accuracy Testing
05Phase 5Production deployment via high-speed API Gateways
Frequently Asked Questions
Is our enterprise data safe when using LLM models?
Yes. We enforce enterprise-grade data boundaries and use private, self-hosted API instances to ensure your data is never used for training public models.
What vector databases do you support?
We specialize in Pinecone, pgvector on PostgreSQL, Redis, and Qdrant depending on operational scale.
“Integrating custom support bots saved our help desk 50 hours a week. The accuracy of their RAG pipeline is incredible.”
Vikram MehtaOperations Director, LogiCore