1+ day, 3+ hour ago  (156+ words) <. Example of Vector-Graph-Relational RAG. > SQL/GQL, or Structured Query Language/Graph Query Language, refers to command languages used to search or modify information stored in databases. SQL is the traditional language used to handle tabular data, while GQL is a language dedicated to graph…...

2+ day, 4+ hour ago  (1385+ words) Forrester Wave Leader, Q2 2025 Get the most relevant context to agents so that they deliver accurate and trusted outcomes Efficiently create, store, and search vector embeddings The speed, scale, and flexibility to power modern application experience Collect, search, explore, and act…...

1+ day, 18+ hour ago  (951+ words) Part 1 built the knowledge base. Part 2 handled chunking. The first version of the system used text-embedding-ada-002 for retrieval " Open AI's most mainstream embedding model at the time. The first instinct was to tune the similarity threshold: drop from 0. 85 to 0. 75? To…...

3+ day, 4+ hour ago  (1220+ words) Forrester Wave Leader, Q2 2025 Get the most relevant context to agents so that they deliver accurate and trusted outcomes Efficiently create, store, and search vector embeddings The speed, scale, and flexibility to power modern application experience Collect, search, explore, and act…...

2+ day, 12+ hour ago  (662+ words) The overall user experience usually depends on how accurately the platform can connect relevant people together. At early stages, traditional search systems are often enough. Basic SQL filtering, category-based navigation, and keyword matching can solve many initial requirements without major…...

4+ day, 4+ hour ago  (1171+ words) Forrester Wave Leader, Q2 2025 Get the most relevant context to agents so that they deliver accurate and trusted outcomes Efficiently create, store, and search vector embeddings The speed, scale, and flexibility to power modern application experience Collect, search, explore, and act…...

3+ day, 15+ hour ago  (446+ words) Join us at the world's largest data, apps and AI event. Full-text search indexes can accelerate queries by 100x or more on open format tables, without changing table layouts by Yu Xu, Yingyi Bu and Ivan Vezili" Teams are often forced…...

4+ day, 7+ hour ago  (516+ words) Search returns things you have to read. An answer engine reads them for you. That last step bothered me. The model already synthesises when generating reflections. The retrieval already works. The only missing piece was wiring them together at query…...

4+ day, 13+ hour ago  (336+ words) Vector search cracked open semantic retrieval for everyone. Embed your data, embed the query, find the nearest neighbors " it works, it scales, and it replaced a lot of brittle keyword matching. But production AI systems have evolved past the point…...

4+ day, 22+ hour ago  (1171+ words) Semantic search was a breakthrough. It is also incomplete. The production systems that work in 2026 use something different. The Query That Breaks Every Pure Semantic System A user types: "SKU-48291 return policy." A pure vector search converts that into an…...