Hybrid Search Implementation: Combining Vector and Keyword Retrieval

Introduction: Hybrid search combines the best of both worlds: the semantic understanding of vector search with the precision of keyword matching. Pure vector search excels at finding conceptually similar content but can miss exact matches; pure keyword search finds exact terms but misses semantic relationships. Hybrid search fuses these approaches, using vector similarity for semantic […]

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GPT-4 Turbo and the OpenAI Assistants API: Building Production Conversational AI Systems

Introduction: OpenAI’s DevDay 2023 marked a pivotal moment in AI development with the announcement of GPT-4 Turbo and the Assistants API. These releases fundamentally changed how developers build AI-powered applications, offering 128K context windows, native JSON mode, improved function calling, and persistent conversation threads. After integrating these capabilities into production systems, I’ve found that the […]

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Document Processing Pipelines: From Raw Files to Vector-Ready Chunks

Introduction: Document processing is the foundation of any RAG (Retrieval-Augmented Generation) system. Before you can search and retrieve relevant information, you need to extract text from various file formats, split it into meaningful chunks, and generate embeddings for vector search. The quality of your document processing pipeline directly impacts retrieval accuracy and ultimately the quality […]

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Prompt Template Management: Engineering Discipline for LLM Prompts

Introduction: Prompts are the interface between your application and LLMs. As applications grow, managing prompts becomes challenging—they’re scattered across code, hard to version, and difficult to test. A prompt template system brings order to this chaos. It separates prompt logic from application code, enables versioning and A/B testing, and makes prompts reusable across different contexts. […]

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Document Processing with LLMs: Enterprise Parsing, Chunking, and Extraction (Part 2 of 2)

Introduction: Processing documents with LLMs unlocks powerful capabilities: extracting structured data from unstructured text, summarizing lengthy reports, answering questions about document content, and transforming documents between formats. However, effective document processing requires more than just sending text to an LLM—it demands careful parsing, intelligent chunking, and strategic prompting. This guide covers practical document processing patterns: […]

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