1 min read
Migrating from LangChain to Semantic Kernel: A Practical Guide
Many teams that started with LangChain in 2024 are now evaluating Semantic Kernel for its tighter Azure integration and production-ready features. Having…
LangChain
20 articles
1 min read
Implementing RAG with LangChain and Azure OpenAI
Experiment with chunk sizes, overlap, and retrieval strategies. Hybrid search combining semantic and keyword matching often provides the best results for…
1 min read
LangChain vs Semantic Kernel: Choosing Your AI Framework
Choose based on your ecosystem and team skills.
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LangSmith Alternatives: Choosing the Right LLM Observability Platform
The best tool depends on your specific needs. Start with the simplest option that meets your requirements, and upgrade as your needs grow.
1 min read
Agent Memory Patterns: Beyond Simple Context
Periodically consolidate memories for efficiency: 1. Layer your memory : Different types for different purposes 2. Manage capacity : Always have eviction…
1 min read
LangChain Updates: What's New in July 2024
LangChain 0.2.x Stability LCEL (LangChain Expression Language) Maturity Azure AI Search Vector Store
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Building AI Agents: From Simple to Sophisticated
AI agents are systems that can take actions autonomously to achieve goals. Today I'm exploring how to build agents from simple tool-using assistants to…
2 min read
AI Agent Frameworks Comparison: LangChain, AutoGen, CrewAI, and More
I've built prototypes on LangChain, AutoGen, and several newcomers; each choice has trade-offs. This comparison focuses on practical differences that…
1 min read
CrewAI Introduction: Role-Based Multi-Agent Framework
I started experimenting with CrewAI because I wanted clearer role definitions in multi-agent workflows. CrewAI's focus on roles, goals, and agent…
1 min read
Agentic RAG Patterns: Self-Correcting and Adaptive Retrieval
When RAG systems can reason about what to retrieve, they stop failing silently. My implementations of agentic RAG show how to add evaluation and iterative…
1 min read
LangSmith Introduction: Observability for LLM Applications
Getting started with LangSmith for tracing, debugging, and monitoring LLM applications.
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Parallel Execution in LangChain: Optimizing LLM Applications
Master parallel execution patterns in LangChain to build faster, more efficient LLM applications.
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Chain Composition in LangChain: Building Complex Workflows
Learn advanced techniques for composing LangChain chains into complex, multi-step LLM workflows.
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Understanding Runnable Interfaces in LangChain
Deep dive into LangChain's Runnable interface and its implementations for building flexible LLM pipelines.
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LCEL Design Patterns for Production LLM Applications
Advanced LCEL patterns for building robust, scalable LLM applications in production environments.
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LangChain Expression Language (LCEL): A Practical Guide
Understanding LangChain Expression Language for building composable LLM applications with clean, declarative syntax.
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LangChain with Azure OpenAI: Building Production AI Applications
Learn how to use LangChain with Azure OpenAI Service to build robust, production-ready AI applications.
1 min read
LangChain Updates: New Features and Improvements
LangChain's velocity in 2023 has been remarkable and occasionally destabilising — the 0.0.x series has introduced breaking API changes in point releases…
1 min read
LangChain with Azure OpenAI: Getting Started
Combined with Azure OpenAI's enterprise security and compliance, it's a powerful combination.
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LangChain Introduction: Building AI Applications with Python
Create reusable, parameterized prompts: Combine components into workflows: Load content from various sources: Split documents for embedding: Generate…