Redis 8.0 Native Vector Sets (VADD & VSIM with Q8 Quantization)

#!/usr/bin/env bash # Redis 8.0+ Built-In Vector Sets (VADD / VSIM / VSETATTR) Semantic Search Blueprint # Requires Redis 8.0+ open-source unified binary (no external module configuration needed) set -euo pipefail REDIS_CLI="${REDIS_CLI:-redis-cli}" # 1. Insert Embeddings With Q8 Quantization & JSON Attributes (Auto-creates HNSW Vector Set) # Syntax: VADD <key> VALUES <dim> <f1> <f2> ... <element_id> [Q8 | BIN | NOQUANT] [SETATTR <json>] ${REDIS_CLI} VADD kb:chunks VALUES 4 0.14 -0.52 0.88 0.11 "doc:pg18-aio" Q8 \ SETATTR '{"engine":"postgresql","version":18,"tier":"public"}' ${REDIS_CLI} VADD kb:chunks VALUES 4 0.16 -0.49 0.85 0.08 "doc:pg18-uuidv7" Q8 \ SETATTR '{"engine":"postgresql","version":18,"tier":"public"}' ${REDIS_CLI} VADD kb:chunks VALUES 4 -0.61 0.72 0.12 -0.30 "doc:redis8-io" Q8 \ SETATTR '{"engine":"redis","version":8,"tier":"internal"}' # 2. Filtered Similarity Search (Hybrid ANN + Arithmetic/Boolean Attribute Filter) echo "--- Top Public PostgreSQL Matches ---" ${REDIS_CLI} VSIM kb:chunks VALUES 4 0.15 -0.50 0.87 0.10 \ WITHSCORES COUNT 5 \ FILTER '.engine == "postgresql" and .tier == "public" and .version >= 18' # 3. Search Using an Existing Element's Vector ("More Like This" Item-to-Item Recommendation) echo "--- Similar to doc:pg18-aio ---" ${REDIS_CLI} VSIM kb:chunks ELE "doc:pg18-aio" WITHSCORES COUNT 3 # 4. Inspect Vector Set Cardinality, Quantization Mode & HNSW Graph Metadata ${REDIS_CLI} VINFO kb:chunks ${REDIS_CLI} VGETATTR kb:chunks "doc:pg18-aio"