Agentic AI & Retrieval Systems
Domain Overview & Technical Focus
Architecting autonomous LLM agents equipped with deterministic tool execution, vector retrieval backends, and multi-step reasoning workflows.
Core Frameworks, Tools & Methodologies
Specific technologies and their practical application in research & software engineering
LangChain
Framework for building multi-step conversational agent chains, prompt orchestration, memory structures, and custom document loaders.
FAISS Vector Indexing
Dense vector embeddings retrieval, exact and approximate nearest neighbor indexing (IVF, HNSW), and fast cosine similarity search.
Sentence-Transformers
Generating dense semantic embeddings for passage retrieval, bi-encoder similarity matching, and cross-encoder reranking.
Retrieval-Augmented Generation (RAG)
End-to-end RAG architectures incorporating chunking strategies, contextual embeddings, and grounded response generation.
Multi-Agent Workflows (Llama-3.1)
Coordinating multi-agent systems with specialized sub-roles, automated tool calling, and structured JSON output validation.
Knowledge Graphs & Structured Retrieval
Entity-relation graphs combined with dense vector representations for hybrid semantic and factual retrieval.