AI Tooling Ecosystem

The landscape for building AI workflows is vast and evolving.

Orchestration Frameworks

LangChain

The most popular framework. Huge ecosystem of integrations. Good for chaining and standard RAG, though can be abstract.

LlamaIndex

Specialized in data. Excellent for building advanced RAG pipelines, indexing, and retrieving structured/unstructured data.

AutoGen (Microsoft)

Focuses on Multi-Agent conversation patterns. Great for simulating complex group dynamics between agents.

Evaluation

Ragas

Framework for evaluating RAG pipelines (Context Precision, Faithfulness, etc.).

LangSmith / LangFuse

Observability platforms. Essential for tracing what happens inside your chains, debugging latency, and tracking costs.

Vector Databases

Where your data lives for retrieval.

• Pinecone / Weaviate / Qdrant: Dedicated vector stores.
• pgvector: Vector search within PostgreSQL.