So the difference is we inject software review text chunks into the conversation as hidden context for the LLM to answer the query. Based on your input we do a cosine similarity search in the vector DB and retrieve the most relevant results which are then analyzed and subsequently the model formulates a response.
Maybe we need to make this even more clear on the LP - like the comment earlier where we show responses side-by-side from e.g. plain vanilla OpenAI/Claude and Reviewradar.
Maybe we need to make this even more clear on the LP - like the comment earlier where we show responses side-by-side from e.g. plain vanilla OpenAI/Claude and Reviewradar.