docs: fixes

Author: sinedied

docs/sections/01-intro.md

@@ -35,7 +35,7 @@ Retrieval-Augmented generation (RAG) is a powerful technique that combines the s
 
 At its core, RAG involves two main components:
 
-- **Retriever**: Think "_like a search engine_", finding relevant information from a database. The retriever usually searches in a vector database. It could also - for some use cases - search on application dabases, APIs and other sources of information. In this workshop, we will implement this logic in the _Chat API_.
+- **Retriever**: Think "_like a search engine_", finding relevant information from a database. The retriever usually searches in a vector database. It could also - for some use cases - search on application databases, APIs and other sources of information. In this workshop, we will implement this logic in the _Chat API_.
 
 - **Generator**: Acts like a writer, taking the prompt and information retrieved to craft a response. In this workshop, OpenAI `gpt-3.5-turbo` will be our generator.
 

docs/sections/ai-search/06-chat-api.md

@@ -158,7 +158,7 @@ Let's process the search results to extract the documents' content:
 
 ```ts
 const results: string[] = [];
-for await (const document of documents) {
+for (const document of documents) {
   const source = document.metadata.source;
   const content = document.pageContent.replaceAll(/[\n\r]+/g, ' ');
   results.push(`${source}: ${content}`);

docs/sections/qdrant/06-chat-api.md

@@ -171,7 +171,7 @@ Let's process the search results to extract the documents' content:
 
 ```ts
 const results: string[] = [];
-for await (const document of documents) {
+for (const document of documents) {
   const source = document.metadata.source;
   const content = document.pageContent.replaceAll(/[\n\r]+/g, ' ');
   results.push(`${source}: ${content}`);

docs/workshop.md

@@ -812,7 +812,7 @@ Let's process the search results to extract the documents' content:
 
 ```ts
 const results: string[] = [];
-for await (const document of documents) {
+for (const document of documents) {
   const source = document.metadata.source;
   const content = document.pageContent.replaceAll(/[\n\r]+/g, ' ');
   results.push(`${source}: ${content}`);