Introducing FastLLM: Qdrant’s Revolutionary LLM
Today, we’re happy to announce that FastLLM (FLLM), our lightweight Language Model tailored specifically for Retrieval Augmented Generation (RAG) use cases, has officially entered Early Access!
Developed to seamlessly integrate with Qdrant, FastLLM represents a significant leap forward in AI-driven content generation. Up to this point, LLM’s could only handle up to a few million tokens.
However, what sets FastLLM apart is its optimized architecture, making it the ideal choice for RAG applications. With minimal effort, you can combine FastLLM and Qdrant to launch applications that process vast amounts of data. Leveraging the power of Qdrant’s scalability features, FastLLM promises to revolutionize how enterprise AI applications generate and retrieve content at massive scale.
“First we introduced FastEmbed. But then we thought - why stop there? Embedding is useful and all, but our users should do everything from within the Qdrant ecosystem. FastLLM is just the natural progression towards a large-scale consolidation of AI tools.” Andre Zayarni, President & CEO, Qdrant
