feat(docs): Add tutorials for different use scenarios

tensorchord / pgvecto.rs

Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.

https://docs.pgvecto.rs/getting-started/overview.html

Apache License 2.0

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feat(docs): Add tutorials for different use scenarios #246

Open gaocegege opened 5 months ago

gaocegege commented 5 months ago

Like this: https://docs.timescale.com/tutorials/latest/

gaocegege commented 5 months ago

Some scenarios:

Chatbots
Search
text-to-sql

gaocegege commented 5 months ago

I will work on chatbot first.

AkimfromParis commented 5 months ago

Few scenarios:

Chatbots
Simple RAG
Advanced RAG
Q&A over documents
Summarization
Custom Search
Web scraping
Document retrieval
Data extraction/Labeling for NER (tagging in Langchain)

Most users might use Langchain or LLama-Index for use cases. I have a multilingual RAG over documents in Llama-Index and PGvector that could be changed to Pgvecto.rs if needed... 🤗

gaocegege commented 5 months ago

Most users might use Langchain or LLama-Index for use cases. I have a multilingual RAG over documents in Llama-Index and PGvector that could be changed to Pgvecto.rs if needed... 🤗

Sure! It would be really helpful! We are planning to add a new section in our docs https://docs.pgvecto.rs/getting-started/overview.html to show more use cases