Output Parsers and Structured Output

LangChain vs LlamaIndex: Purpose

What Orchestration Frameworks Are

Abstraction Leakage and Debugging Pain

Framework vs Direct API Calls

Provider and Model Swapping via Abstractions

Streaming Responses in LLM Frameworks

Callbacks, Tracing, and LangSmith

LangGraph and Stateful Agent Orchestration

Agents and Tool Integration

Building a RAG App with LlamaIndex

LlamaIndex Core: Nodes, Indexes, Query Engines

Retriever Abstraction and RAG Pipelines

Wiring conversation memory

Invoke vs batch on a runnable

Applying an output parser

Composing chains with LCEL

PromptTemplate input variables

Constructing a ChatModel wrapper

Initializing an agent executor

Attaching callbacks to a chain

Passing values with RunnablePassthrough

Persisting and reloading an index

Using a node parser

Configuring LlamaIndex Settings

Querying a query engine

Building a VectorStoreIndex

Assembling a RetrievalQA chain

Configuring a retriever

Populating a vector store

Splitting documents with a splitter

Loading documents with a loader

Defining a LangChain Tool

Selecting similarity_top_k

Injecting context into a prompt

Embeddings and Vector Store Integrations

Text Splitters and Chunking Strategies

Document Loaders and Data Ingestion

Memory Modules for Conversational State

Prompt Templates and Variable Injection

LCEL and the Runnable Interface

Chains: Composing Multi-Step LLM Workflows

LangChain Core: Models, Prompts, Parsers

LangChain Expression Language (LCEL)

LLM and ChatModel Wrappers

Chains and Chaining Components

Streaming Support

Document Loaders

Retrievers Abstraction

Vector Store Integrations

Combining LangChain and LlamaIndex

Memory Modules for Conversation

Output Parsers

Structured Output via Frameworks

Framework Overhead Tradeoffs

Embeddings Abstraction

Text Splitters and Chunking

Provider and Model Swapping

Prompt Templates in LangChain

LangSmith Tracing and Debugging

LangChain Core Components

LangChain vs LlamaIndex Focus

Framework vs Raw API Calls

What an Orchestration Framework Is

Callbacks and Observability Hooks

Data Ingestion Pipeline

Nodes and Documents in LlamaIndex

LlamaIndex Query Engines

LlamaIndex Index Types

Building a RAG Pipeline

Retriever Abstraction

Streaming Support

Ingestion Pipelines and Postprocessors

Overhead and Leaky Abstractions

Async and Batch Execution

Callbacks and Observability

LlamaIndex Index Types

Output Parsers

LangChain vs LlamaIndex

Combining LangChain and LlamaIndex

Embeddings Abstraction

Agents and Tools

Memory Abstractions

Nodes and Documents

Building a RAG Pipeline

Text Splitters

Prompt Templates

LCEL and Runnables

Chains for Multi-Step Workflows

What Orchestration Frameworks Are

LlamaIndex Query Engines

Document Loaders

Framework vs Raw SDK

Model Abstraction and Swapping