Add semantic search to ChatGPT history

ChatGPT Feature requests
1

After using ChatGPT for some time, I have accumulated hundreds of conversations, some related and others unrelated: questions, research, brainstorming sessions, ideas developed over several chats, and so on. They are typically unorganised.

The problem comes when I remember something I discussed, perhaps months ago, and want to return to that conversation. I often remember the subject or idea quite clearly, but not the chat title, the date or the particular words I used.

ChatGPT’s history search already does one important thing well: it returns a navigable list of matching conversations. The missing part is semantic search.

For example, I recently wanted to find an old conversation where I had developed a model of how humans learn and make decisions and created a diagram.

When I asked ChatGPT directly, it was able to identify several likely relevant conversations But it could not give me a navigable list of those chats - it tries to give me a list of keywords to search on.

So the two required capabilities already exist separately:

  • ChatGPT can understand what kind of conversation I mean and find relevant chat threads

  • History search can return clickable links to the actual conversations.

Please combine these capabilities, I should be able to type into the existing search:

“Find the conversation where I modelled how humans learn and make decisions.”

and have it return relevant chats even if those exact words never appeared in them.

People usually remember what they discussed, not the exact wording they used.

2

I’d like to add another real-world use case for this feature request.

I’ve been using ChatGPT over a long period of time to explore grief, creativity, relationships, and personal growth. One challenge I’ve encountered is that conversations often evolve organically. A chat that begins with a question about a song lyric, a home renovation project, or another everyday topic can naturally become a meaningful discussion about grief, healing, or personal reflection.

I’m currently collaborating with a developer on an AI grief support project, using my own experiences with ChatGPT as one source of reference for understanding supportive conversations. As part of that work, I’m often asked to locate specific themes or conversational contexts within previous chats. For example, I may be looking for conversations involving reluctance to move forward, accepting difficult truths, or moments when I wasn’t ready to embrace a suggestion and the dialogue adapted to that.

The challenge is that I rarely remember the exact words I used or the title of the conversation. I remember the meaning of the interaction.

Keyword search isn’t sufficient because the conversations frequently shift direction and become something entirely different from where they began. A discussion that starts with songwriting or a home improvement question may ultimately become one of the most meaningful conversations about grief or healing.

Semantic search across chat history would make these conversations meaningfully retrievable. Rather than searching for specific words, it would allow users to search by concepts, themes, emotional context, or conversational dynamics.

For those of us who use ChatGPT as a long-term thinking partner, reflective journal, creative collaborator, or research assistant, semantic search would transform years of conversations into a genuinely useful personal knowledge archive. It would allow us to rediscover conversations based on their significance rather than trying to remember the exact words we happened to use.