LLMs, RAGs, Agents
LLM RAGs through Agents are changing how we think of AI Apps - Dakshineshwari helps firms make them accurate, and productize them for high ROI. If your firm needs help with any of the Applied AI engineering value-adds and deliverables mentioned below, reach out to us.
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The biggest value, we add is the construction of Gen-AI systems, not just RAGs. These multi-step inference Gen-AI systems, allow for higher ROI, something that the industry otherwise struggles with.
Applied AI Value-Adds
Deliverables
Fine Tuning
Fine tune open LLMs with added data gen & verification. Build custom leader-boards.
Data & Infra
Data Platform, streaming, data gen & information retrieval.
Advanced RAG
Re-ranking, hybrid search, verification chains, complex evals. LangChain, DSPy + Neo4J
Multi-Step Apps
Complex Inference steps to generate high ROI apps - eg: Supply Chain Mgmt.
Agents & Flows
Flows for apps in Sales support, financial reports, etc. - Gumloop, LangGraph, Crew ai
Performance & TCO
Accuracy, latency, costs & leader-boards + Deployment & Ops.