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Python

Deploying DeepSeek-R1 and Llama 3.3 Locally with vLLM and Docker

The release of open-weights frontier reasoning models like DeepSeek-R1 and high-parameter foundational models like Llama 3.3 70B has triggered a…

Fixing Common LangChain Memory Deprecation and Migration to LangGraph

If you have upgraded your Python environment recently, you have likely encountered this warning or fatal crash:…

FastAPI Streaming LLM Responses with Server-Sent Events (SSE) in Python

In modern AI applications, users should never stare at a blank screen waiting 10 seconds for a full 500-token response.…

Reranking in RAG Pipelines: When and How to Use Cross-Encoders vs Bi-Encoders

Retrieval-Augmented Generation (RAG) performance is bounded by the quality of the context supplied to the LLM. If your retrieval step…

Chunking Strategies for Complex PDFs: Dealing with Tables and Multi-Column Layouts in RAG

Naive chunking algorithms (like fixed-length character splitters with 500 characters and 50 overlap) are the primary reason enterprise Retrieval-Augmented Generation…

FastAPI Streaming LLM Responses with Server-Sent Events (SSE) in Python

In modern AI applications, users should never stare at a blank screen waiting 10 seconds for a full 500-token response.…

Building an Autonomous Research Agent with Python and DuckDuckGo / Tavily Search API

When building enterprise Retrieval-Augmented Generation (RAG) systems in 2026, relying purely on dense vector embeddings (like OpenAI text-embedding-3 or BGE)…

Local LLM Tool Calling with Ollama and Python: Step-by-Step Implementation

Running Large Language Models locally has evolved from basic chat interfaces into sophisticated autonomous systems capable of executing deterministic software…

Hybrid Search Explained: Combining BM25 Keyword Search and Vector Embeddings in RAG

When building enterprise Retrieval-Augmented Generation (RAG) systems in 2026, relying purely on dense vector embeddings (like OpenAI text-embedding-3 or BGE)…

LangGraph StateGraph Tutorial: Building Multi-Agent Workflows in Python

While simple sequential chains (like those in early LangChain) work for basic question-answering, production AI applications require loops, conditional branching,…