Welcome to my GenAI learning journey!
- Fundamentals of LLMs & Generative AI
- AI Agents and Agentic Workflows
- Chat over Large Documents using vector stores (Qdrant, PGVector, Pinecone)
- Retrieval-Augmented Generation (RAG)
- Memory-aware Agents with Graph DBs (Neo4j)
- Multi-modal LLM Applications
- Secure and Controlled AI Workflows (Llama-3, Guardrails, MCP)
- Fine-tuning and Evaluation Techniques
- Languages: Python, JavaScript
- Frameworks: LangChain, LangGraph, LangSmit
- Tracing/Monitoring: Langfuse (Docker)
- Vector Stores: PGVector, Qdrant, Pinecone
- Graph DB: Neo4j
- Deployment: MCP Server, AWS
- LLMs: OpenAI, Claude, DeepSeek, Gemini, Llama-3, Gemma
Hi, Iβm Jaswanth! Iβm a developer passionate about AI, product-building, and learning in public.