This repository is dedicated to my learning journey through the LangChain & Vector Databases in Production course offered by Activeloop. The course is part of the Gen AI 360 Foundational Model Certification and focuses on mastering Large Language Models (LLMs) and Vector Databases.

in this repo projects are supervised,unsupervised,deep_learning,tensorflow,pytorch,keras,rag,vectordb_faiss,hugging_face,langchain.

Personal project about learning LangChain, RAG, VectorDB(Chroma), HuggingFace to create a RESTful API with FastAPI in Python.

For the purposes of familiarization and learning. Consists of utilizing LangChain framework, LangSmith for tracing, OpenAI LLM models, Pinecone serverless vectorDB using Jupyter Notebook and Python.

A LangChain learning project on chatbot creation, API-style LangChain usage with LangServe, and RAG pipelines. Includes document loading (PDF, DOCX, CSV, Excel), chunking, embeddings, vectordb and retrieval. Integrated with Streamlit for UI and LangSmith for tracing and debugging. Demonstrates tools, agents, and multi-source RAG implementations.