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.
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.
Why Us?
Pricing
Fixed T-Shirt pricing for most deals + monthly subscription for ops/refresh
Industry Focus
Functional & Industry Focus on Retail, Sales, Mktg., Supply Chain, Manufacturing
Specialization
Complex evals against Hallucinations Data Streaming, Knowledge Graphs
Add-Ons
Information Retrieval, Multi-modal data, Perf Optimizations
Intellectual Property
Recipes for Industry LLM RAGs + multi-step inference flows
LLMOps & Serving
Subscription fee based serving, ops + leader-boards for perf, LLM selection