How Inkeep and Milvus Built a RAG-driven AI Assistant for Smarter Interaction
Blog post from Zilliz
Inkeep and Milvus have developed an AI-powered assistant to enhance interaction with technical documentation, aiming to save time for developers searching through platforms or services. The AI assistant is built using Retrieval Augmented Generation (RAG), a method that combines advanced NLP techniques such as vector search and LLMs to generate accurate answers to users' queries. Inkeep handles the ingestion and generation parts, while Zilliz provides support in the indexing and retrieval steps. The AI assistant is currently available on both the Zilliz and Milvus documentation sites.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Vector Search | 44 | 2,767 | 278 | 102 | -41% |
| RAG | 27 | 1,943 | 207 | 76 | -13% |
| LLM | 14 | 3,362 | 423 | 155 | -16% |
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