Update README.md

sparrow-ml/llm/README.md

@@ -6,13 +6,13 @@ Sparrow Agents - with Sparrow you can build independent LLM agents, and use API
 
 **List of available agents:**
 
-- llamaindex - RAG pipeline with LlamaIndex for PDF processing
-- vllamaindex - RAG pipeline with LLamaIndex multimodal for image processing
-- vprocessor - RAG pipeline with OCR and LlamaIndex for image processing
-- haystack - RAG pipeline with Haystack for PDF processing
-- fcall - Function call pipeline
-- unstructured-light - RAG pipeline with Unstructured and LangChain
-- unstructured - RAG pipeline with Weaviate vector DB query, Unstructured and LangChain
+- **llamaindex** - RAG pipeline with LlamaIndex for PDF processing
+- **vllamaindex** - RAG pipeline with LLamaIndex multimodal for image processing
+- **vprocessor** - RAG pipeline with OCR and LlamaIndex for image processing
+- **haystack** - RAG pipeline with Haystack for PDF processing
+- **fcall** - Function call pipeline
+- **unstructured-light** - RAG pipeline with Unstructured and LangChain, supports PDF and image processing
+- **unstructured** - RAG pipeline with Weaviate vector DB query, Unstructured and LangChain, supports PDF and image processing
 
 ### RAG runs offline on a local machine
 
@@ -221,22 +221,22 @@ Answer:
 The stock price of the Exxon is 111.2699966430664. USD
 ```
 
-Use `unstructured-light` agent to run RAG pipeline with Unstructured library. It helps to improve data pre-processing for LLM
+Use `unstructured-light` agent to run RAG pipeline with Unstructured library. It helps to improve data pre-processing for LLM. This agent supports PDF, JPG and PNG files
 
 ```
 ./sparrow.sh "invoice_number, invoice_date, total_gross_worth" "int, str, str" --agent unstructured-light --file-path
 /Users/andrejb/infra/shared/katana-git/sparrow/sparrow-ml/llm/data/invoice_1.pdf
 ```
 
-With `unstructured-light` it is possible to specify option for table data processing only
+With `unstructured-light` it is possible to specify option for table data processing only. This agent supports PDF, JPG and PNG files
 
 ```
 ./sparrow.sh "names_of_invoice_items, gross_worth_of_invoice_items, total_gross_worth" "List[str], List[str], str"
 --agent unstructured-light --file-path /Users/andrejb/infra/shared/katana-git/sparrow/sparrow-ml/llm/data/invoice_1.pdf
 --options tables
 ```
 
-Use `unstructured` agent to run RAG pipeline with Weaviate query (no separate step to ingest data is required) and Unstructured library
+Use `unstructured` agent to run RAG pipeline with Weaviate query (no separate step to ingest data is required) and Unstructured library. This agent supports PDF, JPG and PNG files
 
 ```
 ./sparrow.sh "invoice_number, invoice_date, total_gross_worth" "int, str, str" --agent unstructured --file-path /data/invoice_1.pdf
@@ -361,7 +361,7 @@ curl -X 'POST' \
   -F 'file=@inout-20211211_001.jpg;type=image/jpeg'
 ```
 
-Inference call with `unstructured-light` agent:
+Inference call with `unstructured-light` agent, this agent supports also JPG and PNG files:
 
 ```
 curl -X 'POST' \
@@ -376,7 +376,7 @@ curl -X 'POST' \
   -F 'file=@invoice_1.pdf;type=application/pdf'
 ```
 
-Inference call with `unstructured-light` agent, using only tables option:
+Inference call with `unstructured-light` agent, using only tables option. This agent supports also JPG and PNG files:
 
 ```
 curl -X 'POST' \
@@ -391,7 +391,7 @@ curl -X 'POST' \
   -F 'file=@invoice_1.pdf;type=application/pdf'
 ```
 
-Inference call with `unstructured` agent:
+Inference call with `unstructured` agent, this agent supports also JPG and PNG files:
 
 ```
 curl -X 'POST' \