Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
Build a Kubernetes Operator for AI agent lifecycle management using Custom Resource Definitions, reconciliation loops, and status management to automate agent provisioning and scaling.
Learn how to use Kubernetes Persistent Volumes, PersistentVolumeClaims, and StorageClasses to manage stateful AI agent workloads including vector stores, conversation logs, and model caches.
LangChain's milestone highlights the explosive growth of the AI agent framework ecosystem, with CrewAI, AutoGen, and LangGraph competing for developer mindshare in an increasingly crowded market.
Implement real-time streaming in LangChain applications with callback handlers for token-by-token output, custom event logging, cost tracking, and production monitoring hooks.
Deep dive into LCEL's pipe operator, RunnablePassthrough, RunnableParallel, branching, and fallback patterns for building flexible, declarative AI pipelines in LangChain.
Master the core building blocks of LangChain including chains, prompt templates, language model wrappers, and the LangChain Expression Language for composing AI applications.
Explore LangChain's memory types for building conversational AI — from simple buffer memory to summarization and vector-store-backed long-term memory with persistence strategies.
Learn how to extract structured data from LLM responses using LangChain output parsers — Pydantic models, JSON parsing, format instructions, and retry parsers for robust extraction.
Build end-to-end Retrieval Augmented Generation pipelines with LangChain — covering document loaders, text splitting strategies, vector stores, retrievers, and RAG chain composition.
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