Merge pull request #16 from run-llama/logan/add_links_to_docs

patch various links

apps/docs/docs/introduction.md

@@ -37,14 +37,14 @@ For more complex applications, our lower-level APIs allow advanced users to cust
 
 Our documentation includes [Installation Instructions](./installation.md) and a [Starter Tutorial](./starter.md) to build your first application.
 
-Once you're up and running, [High-Level Concepts](./concepts.md) has an overview of LlamaIndex's modular architecture. For more hands-on practical examples, look through our [End-to-End Tutorials](LINK TO EXAMPLES FOLDER).
+Once you're up and running, [High-Level Concepts](./concepts.md) has an overview of LlamaIndex's modular architecture. For more hands-on practical examples, look through our [End-to-End Tutorials](./end_to_end.md).
 
 ## 🗺️ Ecosystem
 
 To download or contribute, find LlamaIndex on:
 
 - Github: https://github.com/jerryjliu/llama_index
-- LlamaIndex (NPM): LINK TO NPM PACKAGE
+- LlamaIndex (NPM): https://www.npmjs.com/package/llamaindex
 - LlamaIndex (Python): https://pypi.org/project/llama-index/.
 
 ## Community

apps/docs/docs/modules/index.md

@@ -12,7 +12,7 @@ LlamaIndex.TS offers several core modules, seperated into high-level modules for
 
 - [**Indexes**](./high_level/data_index.md): indexes store the Nodes and the embeddings of those nodes.
 
--[**QueryEngine**](./high_level/query_engine.md): Query engines are what generate the query you put in and give you back the result. Query engines generally combine a pre-built prompt with selected nodes from your Index to give the LLM the context it needs to answer your query.
+- [**QueryEngine**](./high_level/query_engine.md): Query engines are what generate the query you put in and give you back the result. Query engines generally combine a pre-built prompt with selected nodes from your Index to give the LLM the context it needs to answer your query.
 
 - [**ChatEngine**](./high_level/chat_engine.md): A ChatEngine helps you build a chatbot that will interact with your Indexes.