Part 22: Vector Databases - Pinecone, Chroma, Milvus & PGVector
Learn index types (HNSW, IVF), metadata filtering, hybrid search, performance tuning, and managed vs self-hosted vector databases.
Blog
Page 14 of 44.
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Career Guide -
Career Guide Part 23: RAG Architectures - Semantic Retrieval & Knowledge Systems
Master chunking strategies, embedding models, re-ranking (Cohere), hybrid search, contextual compression, and evaluation frameworks for RAG systems.
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Career Guide Part 24: LangChain Foundations - Chains, Prompts & Memory
Learn LangChain chains, prompts, output parsers, memory types, document loaders, text splitters, retrievers, and callbacks for LLM applications.
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Career Guide Part 25: LangGraph - Multi-Agent State Machines & Workflows
Master state graphs, nodes, edges, conditional routing, checkpointing, human-in-the-loop, persistence, and agent orchestration with LangGraph.
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Career Guide Part 26: Multi-Agent Systems & Orchestration Patterns
Learn agent roles, delegation patterns, CrewAI, AutoGen, communication protocols, error handling, and agent memory for orchestrating multiple AI agents.
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Tools 9 min Free-tier stack for a solo developer in India, 2026 edition
An honest audit of the services I run oriz.in on for zero rupees a month, with India-specific notes on PAN, UPI, and INR-friendly providers.
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Career Guide Part 28: The Resume & Portfolio Overhaul — Escaping the Support Trap with High-Impact Projects
The ultimate guide to transforming a stagnant, support-heavy, or fake-padded resume into a highly competitive, production-grade backend and Generative AI systems developer portfolio. Learn what projects to build from scratch to replace fabricated experience, how to reframe enterprise support (like SAP CPQ and Java training) into scalable engineering narratives, and how to structure your skills, titles, and achievements to survive modern ATS filters and elite technical interviews.
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Career Guide Part 17: Generative AI & Large Language Models (LLM) Integration
Master modern Generative AI engineering. Learn Transformer self-attention math, tokenization mechanics, embedding vector spaces, local runtimes (Ollama/vLLM), and strict JSON structured outputs.
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Career Guide Part 18: Retrieval-Augmented Generation (RAG) & Vector Databases
Master advanced Retrieval-Augmented Generation (RAG). Learn semantic chunking, dense vs. sparse vector retrieval, Reciprocal Rank Fusion (RRF), pgvector HNSW indexing, and reranking pipelines.
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Career Guide Part 19: AI Agents & Advanced Workflows with LangGraph
Master autonomous AI agents. Learn ReAct execution loops, multi-agent network topologies, LangGraph state machines, custom state reducers, and the Model Context Protocol (MCP).
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Career Guide Part 20: Enterprise Security, Authentication & OWASP Top 10
Master modern enterprise security. Study OWASP Top 10 vulnerability remediation, OAuth 2.0 + PKCE protocols, JWT cryptographic verification, CORS configurations, and secure middleware engineering.
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Career Guide Part 21: Comprehensive Testing Strategies & Test-Driven Development (TDD)
Master modern software quality assurance. Learn the Testing Pyramid, Test-Driven Development (TDD) cycles, Pytest fixture scopes, mock patching mechanics, and Playwright E2E browser tests.