MCP Quick Reference: Hosts, Clients, and Security
# MCP Cheat Sheet: Hosts and Clients A one‑page reference for **Model Context Protocol (MCP)** covering hosts, clients, servers, security, and interaction patterns. --- ## Core Components **Host**
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AI-Powered YouTube Summarizer, QA Tool with RAG, LangChain, FAISS
In this project, you'll build a question-answering (QA) tool capable of extracting and summarizing information from YouTube videos. Leveraging LangChain and a large language model (LLM), the tool will
Advanced RAG with Vector DB and Retrievers
Advanced Retrievers for RAG RAG pipeline has 2 separate phases Phase 1 : Ingestion (offline/preprocessing) 1) Chunking 2) Embedding 3) Indexing/Storing Phase 2: Retrieval (online at query time) this i
Vector Databases for Recommendation Systems and RAG Cheat Sheet
What is RAG? RAG is a framework that enhances language models by retrieving relevant information from external sources and using it to generate more accurate grounded responses, and thereby reducing t
Chroma DB
Chroma DB Filtering Filtering in Chroma DB fundamentally differs from traditional SQL based filtering due to its emphasis on vector similarity and flexible metadata querying. Chroma DB supports two pr
Similarity Search by Hand
Objectives After completing this lab you will be able to: Compute vector similarities and distances, including: L2 (Euclidean) distance Dot product similarity and distance Cosine similarity and di
Introduction for Vector databases for RAG
Introduction to Vector database and Chroma DB Quick memory notes Vector database types In-memory Store vectors in RAM for very fast reads and writes Suited for real-time analytics and recommendatio