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News
Agentic RAG 2026: When the AI Decides How It Searches
1+ day, 3+ hour ago (274+ words) Production systems standardly use LangGraph as the orchestration framework for this, supplemented by LlamaIndex for the retrieval layer. LangGraph's checkpointing makes every step of the agentic loop traceable, pausable (for human approvals), and repeatable – an essential property for compliance and…...
Flora Find — A Full-Text Search Engine for Your Own Files, Built Without a Single Third-Party Import.
3+ day, 21+ hour ago (364+ words) We've all had that moment of typing a filename into search and getting nothing back, because the file... Tagged with python, beginners, testing, webdev....
Perplexity's Q2D-Web Benchmark Tests AI Search on 190M Real Web Documents
4+ day, 18+ hour ago (291+ words) Perplexity released Q2D-Web, a large-scale benchmark with 190M documents and 70K agent-reformulated queries for evaluating retrieval in agentic RAG systems. Q2D-Web also targets a mismatch specific to agentic systems. Benchmarks typically use human-written queries, whereas RAG agents rewrite user requests into their…...
The one Whoosh setting that decides whether search actually works: the analyzer
4+ day, 14+ hour ago (391+ words) Nine times out of ten the answer is the analyzer — the small pipeline that decides how text becomes searchable tokens. It runs when you index and when you query, and if the two sides don't agree on what a "word…...
Databricks unveils adaptive AI retrieval model to cut search costs and latency
5+ day, 56+ min ago (862+ words) Databricks on Wednesday introduced Adaptive Instructed-Retriever, a new retrieval model designed to improve enterprise AI search by taking additional steps for complex queries while stopping early on simpler ones in order to help its customers balance answer quality, latency, and…...
Databricks AI Agent KARL Optimizes Search Efficiency
5+ day, 3+ hour ago (347+ words) Most artificial intelligence agents built to search for information have a habit of overdoing it — pulling context, cross-checking sources, and running searches well past the point of usefulness. Databricks decided to fix that specific problem, and the result is a…...
Databricks adds adaptive search model to speed agent retrieval
5+ day, 56+ min ago (466+ words) UPDATED 10:00 EDT / SEPTEMBER 09 2026 Databricks Inc. today expanded its Adaptive Instructed-Retriever search model to speed up response times for requests from artificial intelligence agents that require multiple rounds of retrieval. The earlier model performed parallel, single-step searches, making it fast enough…...
You com Review: Search APIs for AI Agents
6+ day, 18+ min ago (181+ words) 𝐂𝐎𝐑𝐄 𝐒𝐓𝐑𝐄𝐍𝐆𝐓𝐇𝐒: • Real-time web grounding built for agents • Search plus full-page contents in one stack • Research API with cited multi-step reports • $100 starter credit and pay-as-you-go • SOC 2 and no-training / ZDR options 𝐈𝐃𝐄𝐀𝐋 𝐅𝐎𝐑: Developers and research teams who need fresh web…...
FreeSerp: The Free, Keyless Web Search API Built for AI Agents
1+ week, 5+ hour ago (1789+ words) Every search API on the market wants an account, a key and a credit card — three things an autonomous agent cannot produce. FreeSerp removes all three and hands back ranked JSON over 21 million live sites, with an LLM summary attached…...
Animorph unveils querying.ai GEO API for AI search, providing on-screen answers and sources
1+ week, 10+ hour ago (274+ words) Animorph, a full-stack GEO platform company, said on Sept. 7 it unveiled querying.ai, an API for generative AI search optimization (GEO). Querying.ai is a service that collects and provides the answers and cited sources shown on the AI search…...