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Lecture 12 of 22

Store embeddings in Pinecone

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Section 1: Introduction3 videos

What you should know about AI and JavaScript

1m

Building context-aware AI tools with custom knowledge bases

1m

Set up the project

3m
Section 2: Text Embeddings6 videos

The importance of embeddings in generative AI

2m

Pair embeddings with related text

4m

Create embeddings with OpenAI

8m

Solution Chunk text and create embeddings

3m

Challenge Chunk text and create embeddings

3m

Text chunking for embeddings

9m
Section 3: Vector Databases7 videos

Set up a vector database with Pinecone

3m

The power of vector databases

5m

Store embeddings in Pinecone

9mNow Playing

Challenge Insert and retrieve data from Pinecone

1m

What is semantic search

3m

Solution Insert and retrieve data from Pinecone

6m

Send queries to Pinecone

8m
Section 4: Conversational Responses with OpenAI and Pinecone5 videos

Retrieval-augmented generation (RAG)

2m

Create replies and manage messages with OpenAI

9m

Form a reply from multiple database matches

4m

Handling errors

5m

Enhance the AI's context awareness

5m
Section 5: Conclusion1 videos

Next steps

2m