#flowiseai #flowise #openai #langchain
We can use Retrieval Chains to create chatbots that are able to answers questions from our own data sources. These can be PDF documents, websites, databases and many more.
We will also look at adding a Pinecone Serverless database in order to store our knowledge base in a persisted database.
🙏 Support My Channel:
Buy me a coffee ☕ : [ Ссылка ]
📑 Useful Links:
Pinecone: [ Ссылка ]
💬 Chat with Like-Minded Individuals on Discord:
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🧠 I can build your chatbots for you!
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🕒 TIMESTAMPS:
00:00 - Introduction to RAG
00:47 - Retrieval Augmented Retrieval
02:58 - Retrieval Diagram
04:09 - Create Retrieval Chain
05:17 - Adding Buffer Vector Store
06:03 - Add Embeddings
06:28 - Add Document Loaders
07:07 - PDF Document Loader
07:32 - Reason for Chunking
09:03 - Add Text Splitter
10:28 - Upserting Data
11:49 - Cheerio Web Scraper
14:49 - Add Pinecone Serverless
18:03 - Return Source Documents
18:25 - Inject Only Flow
19:06 - Prompting / System Message
