Update template index (langchain-ai#12809)

templates/docs/INDEX.md

@@ -15,7 +15,7 @@ These are some of the more popular templates to get started with.
 
 ## 📥 Advanced Retrieval
 
-These templates cover advanced retrieval techniques.
+These templates cover advanced retrieval techniques, which can be used for chat and QA over databases or documents.
 
 - [Reranking](../rag-pinecone-rerank): This retrieval technique uses Cohere's reranking endpoint to rerank documents from an initial retrieval step.
 - [Anthropic Iterative Search](../anthropic-iterative-search): This retrieval technique uses iterative prompting to determine what to retrieve and whether the retriever documents are good enough.
@@ -25,7 +25,7 @@ These templates cover advanced retrieval techniques.
 
 ## 🔍Advanced Retrieval - Query Transformation
 
-A selection of advanced retrieval methods that involve transforming the original user query.
+A selection of advanced retrieval methods that involve transforming the original user query, which can improve retrieval quality.
 
 - [Hypothetical Document Embeddings](../hyde): A retrieval technique that generates a hypothetical document for a given query, and then uses the embedding of that document to do semantic search. [Paper](https://arxiv.org/abs/2212.10496).
 - [Rewrite-Retrieve-Read](../rewrite-retrieve-read): A retrieval technique that rewrites a given query before passing it to a search engine. [Paper](https://arxiv.org/abs/2305.14283).
@@ -36,15 +36,15 @@ A selection of advanced retrieval methods that involve transforming the original
 
 ## 🧠Advanced Retrieval - Query Construction
 
-A selection of advanced retrieval methods that involve constructing a query in a separate DSL from natural language.
+A selection of advanced retrieval methods that involve constructing a query in a separate DSL from natural language, which enable natural languge chat over various structured databases.
 
 - [Elastic Query Generator](../elastic-query-generator): Generate elastic search queries from natural language.
 - [Neo4j Cypher Generation](../neo4j-cypher): Generate cypher statements from natural language. Available with a ["full text" option](../neo4j-cypher-ft) as well.
 - [Supabase Self Query](../self-query-supabase): Parse a natural language query into a semantic query as well as a metadata filter for Supabase.
 
 ## 🦙 OSS Models
 
-These templates use OSS models.
+These templates use OSS models, which enable privacy for sensitive data.
 
 - [Local Retrieval Augmented Generation](../rag-chroma-private): Build a chatbot over your data. Uses only local tooling: Ollama, GPT4all, Chroma.
 - [SQL Question Answering (Replicate)](../sql-llama2): Question answering over a SQL database, using Llama2 hosted on [Replicate](https://replicate.com/).
@@ -53,11 +53,28 @@ These templates use OSS models.
 
 ## ⛏️ Extraction
 
-Extract data in a structured format
+These templates extract data in a structured format based upon a user-specified schema.
+
 - [Extraction Using OpenAI Functions](../extraction-openai-functions): Extract information from text using OpenAI Function Calling.
 - [Extraction Using Anthropic Functions](../extraction-anthropic-functions): Extract information from text using a LangChain wrapper around the Anthropic endpoints intended to simulate function calling.
 - [Extract BioTech Plate Data](../plate-chain): Extract microplate data from messy Excel spreadsheets into a more normalized format.
 
+## ⛏️Summarization and tagging
+
+These templates summarize or categorize documents and text. 
+
+- [Summarization using Anthropic](../summarize-anthropic): Uses Anthropic's Claude2 to summarize long documents.
+
 ## 🤖 Agents
+
+These templates build chatbots that can take actions, helping to automate tasks.
+
 - [OpenAI Functions Agent](../openai-functions-agent): Build a chatbot that can take actions. Uses OpenAI function calling and Tavily.
 - [XML Agent](../xml-agent): Build a chatbot that can take actions. Uses Anthropic and You.com.
+
+## :rotating_light: Safety and evaluation
+
+These templates enable moderation or evaluation of LLM outputs.
+
+- [Guardrails Output Parser](../guardrails-output-parser): Use guardrails-ai to validate LLM output.
+- [Chatbot Feedback](../chat-bot-feedback): Use LangSmith to evaluate chatbot responses.