RAG Developer's Stack #python #chatgpt #ml #ai #openaichatgpt

(Retrieval-Augmented Generation) Developer Stack, showcasing all the essential tools and technologies required to build powerful AI applications. It covers the full RAG pipeline—from LLMs and frameworks to vector databases, data extraction, embeddings, and evaluation tools.
🔹 LLMs (Open & Closed Source): LLaMA 3.3, Phi-4, Gemma 3, Qwen 2.5, Mistral, DeepSeek, OpenAI, Claude, Gemini, Cohere, AWS
🔹 Frameworks: LangChain, LlamaIndex, Haystack, TxtAI
🔹 Vector Databases: Chroma, Pinecone, Qdrant, Weaviate, Milvus
🔹 Data Extraction (Web & Documents): Crawl4AI, FireCrawl, ScrapeGraphAI, MegaParser, Docling, LlamaParse
🔹 Open LLM Access: Hugging Face, Ollama, Groq, Together AI
🔹 Text Embeddings: Nomic, SBERT, BGE, OpenAI, Voyage AI, Google, Cohere
🔹 Evaluation Tools: Giskard, RAGAS, TruLens
This stack is ideal for developers building AI chatbots, enterprise search, document Q&A systems, and knowledge-based assistants. If you’re aiming to become a RAG Developer or AI Engineer, mastering these tools is a must.
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