Combines sparse keyword search (BM25) with dense semantic vector search via Reciprocal Rank Fusion (RRF), followed by a Cohere cross-encoder reranker.
This advanced distributed system deep-dive includes interactive packet visualizers, state machine transitions, and FAANG interview trade-off blueprints.
Augments LLM prompt context by retrieving semantically relevant text chunks from private vector databases before generating answers.
A unified reverse proxy sitting between applications and LLM providers that manages semantic caching, cost rate-limiting, and automated failover.
An autonomous agent paradigm that interleaves reasoning (Thought), tool execution (Action), and observation (Observation) to solve multi-step problems.
Programmable safety filters placed around LLM inputs and outputs to prevent prompt injection, PII leakage, toxic outputs, and unauthorized system access.