Refuel reposted this
OpenAI just announced the acquisition of Rockset. Super interesting move — OpenAI already has a few products where retrieval is important (ChatGPT and GPT-builder). A few interesting implications/questions: 1. What does this mean for companies focused on RAG tooling if some of these capabilities are going to be housed much closer to the model layer? 2. Which use cases are going to demand custom retrieval approaches that a one-size fits all from OpenAI won’t satisfy? 3. OpenAI gets a host of new enterprise sources from which they can pull data and make ChatGPT even more effective for them. 4. What is the next suite of products that we might see from OpenAI that build on retrieval capabilities, and not simply the improvement of the model layer? Also interesting to see this non-model-related announcement come through in the same week as Anthropic’s Claude 3.5 Sonnet — which looks like a very strong contender.
Generic search companies are at risk. But this strategy was clear when OpenAI moved from assistant API 1 to Ver 2. They understand that it makes sense to take a bite out of RAG. It’s not only OpenAI, Google, Amazon, Microsoft and Atlassian (through Rowo) are all in the enterprise search and answering space. Perplexity is clearly going in that direction too
Great observations !! I think the key is also can they deliver it at half of the cost of search companies today, then companies will switch, otherwise will take time!
OpenAI's acquisition of Rockset is strategic. Integrating retrieval capabilities closer to the model layer could reshape RAG tooling, but it may also challenge companies relying on custom retrieval solutions. 🤔
Cool. Every company needs a rock collection
The answer to question 4 - a hyper-optimized streaming layer that makes the RAG absolutely amazing.