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Explore pre-, post-, and single-stage metadata filtering for vector similarity search, with Pinecone code examples showing how filtering affects accuracy and speed.
Learn the traditional LSH pipeline for approximate similarity search, from text shingling and MinHash signatures to banded hashing and candidate-pair tuning.
Train an Italian RoBERTa masked-language model from scratch, troubleshoot CUDA and indexing errors, then test its fill-mask predictions.
Build a LangChain retrieval pipeline that gives LLMs access to current external knowledge and adds citations to generated answers.
Build a conversational Lex Fridman podcast chatbot with LangChain agents, vector search retrieval, conversational memory, and GPT-3.5 Turbo.
Configure MPT-7B models in Hugging Face and LangChain to generate text and connect the model to LangChain tools.
A first look at building conversational agents with Hugging Face, including how to query them and connect community tools.
Combine agent-driven retrieval with vector search so a chatbot consults external knowledge only when a query needs it.
Build a chatbot that retrieves relevant knowledge to ground its answers and reduce hallucinations.
Build a retrieval-augmented generation pipeline that grounds open-source Hugging Face LLM responses in a searchable FAQ dataset.
Build a single-GPU chatbot using the chat-tuned MPT-30B open-source language model.
Build a Python chatbot with NVIDIA NeMo Guardrails, using deterministic dialogue flows to guide topics, control behavior, and trigger actions such as human handoff.
Build custom LangChain tools for LLM agents, from a calculator with multiple parameters to prompts and image understanding.
Build multilingual semantic search with Cohere embeddings, compare them with OpenAI, and index cross-language queries in Pinecone.
Build a multimodal e-commerce search engine that combines CLIP image-text embeddings with BM25 sparse retrieval and Pinecone hybrid queries.
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