Enterprise AI performs best when it can securely access business knowledge. We design Retrieval-Augmented Generation (RAG) solutions that connect AI applications with company documents, knowledge bases and structured data using vector databases including Pinecone, Milvus, Weaviate, Qdrant and Chroma. The result is faster, more accurate and context-aware AI responses.
In the new era of generative AI, Retrieval-Augmented Generation (RAG) isn’t just a fancy Q&A tool it’s evolving into intelligent agents that think, plan, and act. We harness the strengths of LLaMA 3.3, Claude 3, GPT-4o, and modern RAG architectures to design autonomous systems that:
Build and execute multi-step workflows
Call APIs, orchestrate tools, and leverage complex reasoning
Handle text, image, video, and structured data flawlessly
1. LLaMA 3.3 Efficient, Cost-Effective Powerhouse
Meta’s LLaMA 3.3 (70B) delivers performance comparable to its massive 405B predecessor, but with drastically reduced computation and cost It supports an impressive 128k-token context window, excels in multilingual reasoning and code generation benchmarks, and boasts enhanced safety via reinforcement learning and alignment features
2. Claude 3 Multimodal, Context-Rich, Safe
Anthropic’s Claude 3 lineup (Haiku, Sonnet, Opus) brings image-to-text, advanced logic, and multilingual competence. Opus, in particular, shines in reasoning-heavy tasks across modalities. New capabilities like “Artifacts” let Claude render and preview code in real time, and “Computer Use” enables it to autonomously operate desktop environments
3. GPT-4o The Truly Multimodal Agent
OpenAI’s GPT-4o (“omni”) is designed for seamless processing of text, vision, and audio, delivering state-of-the-art performance with real-time voice and image understanding and even voice-to-voice conversations. Its broad 128k-token context enables complex workflows involving diverse media in a single agent.
4. Multimodal RAG & Autonomous Agent Orchestration
By weaving together these advanced LLMs, we elevate simple RAG pipelines into autonomous agents that:
Plan, reason, and break down complex tasks into sequential steps
Call external APIs, manipulate tools, or query databases
Ingest and interpret text, images, videos, and structured tables seamlessly
Act autonomously, much like systems such as AutoGPT—but far more robust and multimodal
Whether you’re planning a new SaaS product, modernising an existing application or introducing AI into business operations, we’ll help you define the right approach, build the solution and support it as your requirements evolve.