Vector Search & Code Embeddings: Building a Smart Knowledge Base with LangChain and FAISS

Learn how to build a smart, queryable knowledge base using vector search and embeddings with LangChain and FAISS. This detailed guide walks you step-by-step through setting up your Python environment, effectively chunking data, embedding vectors, and querying information. Perfect for developers interested in enhancing AI-powered applications. Plus, a behind-the-scenes look at building Intervo, an open-source voice agent platform!