Merge pull request #22 from BillFarber/main

remove old TODO

Author: rjrudin

rag-langchain-python/vector_query_retriever.py

@@ -21,19 +21,6 @@ def create(
         )
 
     def _build_eval_script(self, query, query_embedding):
-        # TODO Will move this into README.
-        # If limits are hit, consider different models:
-        # gpt-35-turbo (0125): 16,385/4,096
-        # gpt-35-turbo (1106): 16,385/4,096
-        # gpt-35-turbo-16k (0613):
-
-        # This JavaScript consists of a single Optic query. The Optic query
-        # starts with a word query to find candidate documents. It then uses
-        # a join to match the embeddings up with the candidate documents.
-        # Next, it performs a cosine similarity operation and sorts the
-        # candidate documents based on the results of that operation. Finally,
-        # it returns those documents to the chain.
-
         words = []
         for word in query.split():
             if len(word) > 2: