Advance RAG 08- Powerful RAG with Langchain Contextual Compression Retriever

[@usmantahir2609]

please continue this series, really helpful content

[@sunnysavita10]

noted

[@jayeshkhirve8112]

Advance rag with advance teaching skills

[@msumanth3692]

valuable information and waiting for more vedios on RAG

[@sunnysavita10]

Keep watching

[@mukeshkund4465]

Great video. But the implementation with OPENAI is also mentioned in the document but it will be super useful if you use open source model like mistral and others

[@sunnysavita10]

yes i have shown in my many other videos you can check out

[@mukeshkund4465]

@@sunnysavita10 Name of the video will be very helpful

[@PhotoshoppersStop]

Can suggest / create a video on creating advanced RAG using tabular dataset like SQL table, postgre SQL etc., thanks

[@darkmatter9583]

yes please

[@FawziBreidi]

maybe one for github as well since LangChain have this integration

[@sunnysavita10]

Will upload soon

[@rutvikjaiswal4986]

Hi sunny please continue this playlist . please add the LangGraph part as well industry using it alot.

[@sunnysavita10]

Noted

[@abhgff]

Can you please create a video on Q&A to a large size tabular dataset(csv / Excel)

[@sunnysavita10]

i did with tabular data please check my ecommerce project

[@PhotoshoppersStop]

Do we need to create chunking for tabular dataset?

[@sunnysavita10]

for text dataset we need to do rest we can store as a meta data check my other videos