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
18 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.
1 min read
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
1 min read
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…
7 min read
LangChain, AutoGen, CrewAI or Semantic Kernel? Choosing in January 2024
How LangChain 0.1, AutoGen 0.2, CrewAI 0.1 and Semantic Kernel 1.0 differ in maturity, control and Azure OpenAI fit, and which one I'd pick for what.
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.
1 min read
Chain Composition in LangChain: Building Complex Workflows
Learn advanced techniques for composing LangChain chains into complex, multi-step LLM workflows.
1 min read
Understanding Runnable Interfaces in LangChain
Deep dive into LangChain's Runnable interface and its implementations for building flexible LLM pipelines.
1 min read
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.
1 min read
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.
1 min read
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…