Redis Vector on Future AGI
Vector Databases
RediSearch with vector similarity for fast in-memory retrieval.
What you get
Everything traced, scored, and improvable
One install instruments Redis Vector on OpenTelemetry. Future AGI then layers evaluators, optimisers, and simulations on top of the same trace tree — no second SDK, no double instrumentation.
Trace
Auto-instrumented spans
Every Redis Vector call becomes a span — inputs, outputs, latency, tokens, cost, model name, tool args, retrieval results, and chain steps captured automatically.
Evaluate
70+ evaluators on every span
Attach Groundedness, Context Relevance, Prompt Injection, Toxicity, and 70+ more — purpose-built scorers powered by the Turing eval models, not generic LLM-as-judge.
Optimize
Closed-loop improvement
Pipe failed traces into agent-opt: GEPA, PromptWizard, ProTeGi, and Bayesian search rewrite your prompts with proof of measured gains.
Simulate
Adversarial scenarios at scale
Generate hundreds of personas and run them through your Redis Vector agent before launch — text and voice, scripted or persona-driven.
Quickstart · <3 min
Instrument Redis Vector in three steps
-
Step 1
Install the traceAI package
One package per language, ships from PyPI, npm, and Maven Central.
-
Step 2
Register the trace provider
Set
FI_API_KEYandFI_SECRET_KEY, then callRedisInstrumentor().instrument(). -
Step 3
Run your existing Redis Vector app
No code changes. Traces appear in the Future AGI dashboard within seconds.
Install
pip install traceAI-redisInstrument
from fi_instrumentation import register
from fi_instrumentation.fi_types import ProjectType
from traceai_redis import RedisInstrumentor
trace_provider = register(
project_type=ProjectType.OBSERVE,
project_name="REDIS_APP",
)
RedisInstrumentor().instrument(tracer_provider=trace_provider)
# Your existing Redis Vector code runs unchanged from here.
# Every call is now an OpenTelemetry span in Future AGI.Pick a recipe
What do you want to do with Redis Vector?
Each recipe is a copy-paste page with the exact code, the gotchas, and a working example you can clone.
Recipes for Redis Vector
Adjacent integrations
Other vector databases
Pinecone
Managed vector database with hybrid search and metadata filtering.
Weaviate
Open-source vector database with built-in vectorizers and modules.
Qdrant
Vector search engine with payload filtering and quantisation.
Chroma
Embeddings database for AI applications with first-class collections.