Best AI courses 2026 in India including Google, AWS, and MIT certifications. Learn AI from beginner to expert level and boost ...
Software development is shifting towards systems that can make decisions and execute workflows autonomously. Instead of only building fixed logic, engineers increasingly design software that uses AI ...
Abstract: Retrieval-Augmented Generation (RAG) grounds large language models with external knowledge, while two recent variants—Self-RAG (self-reflective retrieval refinement) and Agentic RAG ...
One major challenge in deploying autonomous agents is building systems that can adapt to changes in their environments without the need to retrain the underlying large language models (LLMs).
Abstract: Organizations accumulate sufficient amounts of structured and unstructured customer support data, but current systems like SQL queries and fixed dashboards still generate actionable insights ...
Use an indexed OneLake knowledge source to index and query Microsoft OneLake files in an agentic retrieval pipeline. Knowledge sources are created independently, referenced in a knowledge base, and ...
provider (root) — Provider interface, registry, BaseProvider, Request streaming/ — SSEReader (stdlib only) ollama/ — Ollama provider (sub-module) azure ...
Chroma’s latest large language model, Context-1, introduces a new benchmark for retrieval-augmented generation (RAG) by combining precision, speed and cost-efficiency. Developed as a fine-tuned ...