AI Explorer

Best

Top Open Source RAG Frameworks

RAG frameworks differ in data connectors, retrieval control, agent integration, and production operations. This page highlights projects with strong ecosystem fit and clear implementation paths.

Selection criteria

Retrieval capability
Data integration
LLM workflow support
Production readiness

Featured projects

#1

langchain

langchain-ai/langchain48

The agent engineering platform.

Evaluating langchain for Python AI workflows.

+0
#2

llama_index

run-llama/llama_index47

LlamaIndex is the leading document agent and OCR platform

Evaluating llama_index for Python AI workflows.

+0
#3

haystack

deepset-ai/haystack43

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

Evaluating haystack for MDX AI workflows.

+0
#4

Firecrawl

mendableai/firecrawl75

Turn websites into clean, LLM-ready markdown and structured data.

Turning unstructured data into searchable AI context.

+4,600