Branch-based LangChain learning path for building agentic AI apps, ReAct agents, tool calling, RAG with Weaviate, and a Streamlit documentation assistant.
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Updated
May 5, 2026 - Python
Branch-based LangChain learning path for building agentic AI apps, ReAct agents, tool calling, RAG with Weaviate, and a Streamlit documentation assistant.
Impact-driven Hybrid RAG playground for building trustworthy local QA through better retrieval, grounded Ollama generation, citation validation, and BEIR evaluation.
ReAct Framework agent in Python. 14 tools with AST-sandboxed code execution and SSRF-guarded fetching, multi-provider LLM failover, pluggable vector DBs (Pinecone/Weaviate/Qdrant), Redis caching, and independent validation of every answer. Graceful fallbacks throughout.
How to use AI in SWE ?
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