Master Vector Database – ChromaDB

سرفصل های دوره

ChromaDB methods, collections, query filter, langchain, RAG, semantic search and much more.

1. Introduction

1. Introduction to Vector Database

2. Vectors and Embeddings

3. Explain Vector Database like Im 5

2. ChromaDB

1. Introduction to ChromaDB

2. Methods on collections

3. Storing The Matrix collections

4. Adding document associated embeddings

5. Query data with where filter

Files.zip

3. Query multiple documents - ChromaDB + Langchain

1. ChromaDB + Langchain - QA on multiple documents - Part 1

2. ChromaDB + Langchain - QA on multiple documents - Part 2

Files.zip

4. Store and Query Stock Companies Data

1. setup database, and getting data from wikipedia

2. query stock companies data with filters

Files.zip

5. Semantic Search, Duckdb+parquet with ChromaDB

1. Storing Knowledgebase information with Duckdb+parquet

2. Running semantic searches with filters, use different embedding model

Files.zip

6. Multimodal image embedding search

1. setup environment, data, chromadb database

2. Image search using embedding model

3. Finding items within an image using model

4. Using metadatas to enhance your queries

Files.zip

7. Local Vector Database with ChromaDB + langChain + OpenAI

1. Query FED Speech data with local vectorDB, OpenAI and Langchain

Files.zip

8. Streamlit + ChromaDB + LangChain - Summarize any document

1. ChromaDB + Langchain to summarize a PDF document - Part 1

Files.zip

9. RAG with ChromaDB and OpenAIGPT model

1. RAG on wikipedia articles using GPT 3.5 model

Files.zip

10. ChromaDB with Gemini Pro embedding model

1. Using Gemini Pro embedding model for chromaDB

Files.zip

11. Congratulations and Thank You!

1. Your feedback is very valuable!.html

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تولید کننده: Udemy