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#0
Learn ChromaDB - Prerequisite Skills & Environment Setup
Before touching ChromaDB, you need to master Python, the concepts of embeddings and vectors, and the RAG workflow in general. In this episode you will also set up a Python environment, install chromadb, and verify your first installation.
August 3, 2026
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#1
Learn ChromaDB - History, Background & Why You Need ChromaDB
This episode digs into the history and background behind the birth of ChromaDB, its evolution from version 0.x to 1.x with a Rust server, and the real problems it solves: million-scale embedding storage, semantic search, and fast integration with LLM frameworks.
August 3, 2026
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#2
Learn ChromaDB - Core Concepts & Main Architecture
This episode dissects the ChromaDB data model: the Collection made up of ids, embeddings, documents, and metadatas, the difference between embedded mode versus client-server, the legacy Python FastAPI server architecture versus the Rust server, and the HNSW-based index and query flow.
August 3, 2026
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#3
Learn ChromaDB - Setup, Client & First Collection
This episode covers the various ChromaDB client types: Client, PersistentClient, EphemeralClient, and HttpClient, along with how to create and retrieve collections with the right name, metadata, and embedding function parameters.
August 3, 2026
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#4
Learn ChromaDB - Basic CRUD
This episode covers all data manipulation operations in ChromaDB: add, get, update, upsert, delete, count, and modify, along with the combinations of ids, documents, metadatas, and embeddings you can store all at once in a single call.
August 3, 2026
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#5
Learn ChromaDB - Querying & Semantic Search
This episode dissects the ChromaDB query API: query_texts and query_embeddings, the n_results setting, and the include parameter for choosing which of documents, metadatas, distances, or embeddings are returned, complete with the distance vs similarity interpretation.
August 3, 2026
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#6
Learn ChromaDB - Embeddings & Embedding Functions
This episode covers embeddings and embedding functions in ChromaDB: the built-in ONNX MiniLM model that runs locally without an API key, switching to sentence-transformers or OpenAI, using pre-computed embeddings, and writing a custom embedding function.
August 3, 2026
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#7
Learn ChromaDB - Metadata Filtering (Where)
This episode covers metadata filtering with the where clause: the $eq, $ne, $in, $nin, $gt, $lt, $gte, and $lte operators, nested metadata, $and and $or logic, and document search via $contains, $not_contains, and regex.
August 3, 2026
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#8
Learn ChromaDB - Full-Text & Hybrid Search
This episode covers full-text search for precise keyword matching and relevance scoring, then hybrid search strategies that combine vector, full-text, and metadata, including fusion and rerank approaches for accurate RAG retrieval.
August 3, 2026
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#9
Learn ChromaDB - Distance Metrics & HNSW Index
This episode covers the L2, cosine, and inner product distance functions and when to use each according to your embedding model, then dives into HNSW index tuning: the ef_construction, M, and ef search parameters along with the recall, latency, and memory trade-offs.
August 3, 2026
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