fix: qdrant.rb

[satoru02]

Thank you for creating this Gem. I encountered a couple of bugs when trying to use Qdrant with VectorDatabase.

my code

require 'langchainrb'
require 'qdrant'
require 'pry'

client = Langchain::Vectorsearch::Qdrant.new(
  url: '*********************',
  api_key: '*********************',
  index_name: 'test',
  llm: Langchain::LLM::OpenAI.new(api_key: '*********************')
)

client.create_default_schema

company_info = Langchain::Processors::JSON.new.parse(Langchain.root.join('/user/dev/embedding_sample/company_info.json'))

client.add_texts(
  texts: company_info.to_s
)

puts client.ask(
  question: "#{ARGV}"
)

• The first bug is related to the absence of default arguments in the 'add_texts' method, which caused an error.

/Users/satoru/.rbenv/versions/3.0.3/lib/ruby/gems/3.0.0/gems/langchainrb-0.6.3/lib/langchain/vectorsearch/qdrant.rb:35:in `add_texts': missing keyword: :ids (ArgumentError)
        from test_company_info.rb:19:in `<main>'

• The second bug was found in the 'ask' method while mapping the 'search_results' object. It was unnecessary to include the 'result' parameter, so I removed it.

/Users/satoru/.rbenv/versions/3.0.3/lib/ruby/gems/3.0.0/gems/langchainrb-0.6.3/lib/langchain/vectorsearch/qdrant.rb:113:in `dig': no implicit conversion of String into Integer (TypeError)
        from /Users/satoru/.rbenv/versions/3.0.3/lib/ruby/gems/3.0.0/gems/langchainrb-0.6.3/lib/langchain/vectorsearch/qdrant.rb:113:in `ask'
        from test_company_info.rb:24:in `<main>'

[andreibondarev]

@satoru02 This is excellent! Thank you for contribution and fixes! Lmk if you have any other feedback on this gem!