API Playground
Interactive API explorer to test retrieval queries, tune parameters, and inspect results — directly in the browser. No local setup required to evaluate quality.
Developer Infrastructure
Enterprise-Grade Retrieval APIs for AI Applications
Use production-ready APIs for ingestion, hybrid search, reranking, citations, and grounded retrieval over private or public knowledge sources. Build reliable AI products without reinventing retrieval.
RetrievalAPI — Playground
POST /v1/retrieve200 OK · 138ms
{
"query": "load bearing capacity",
"mode": "hybrid",
"top_k": 5,
"rerank": true
}Retrieval Pipeline
Query
embed
Vector
k=20
BM25
k=20
RRF Merge
k=20
Rerank
top 5
Generate
cited
Hybrid Scoring — Top Results
chunk_4821
0.94
+0.87=0.97chunk_2204
0.91
+0.79=0.92chunk_7703
0.88
+0.83=0.89SDK
PythonTypeScriptGoJava
Chunking Config
strategysemantic
max_tokens512
overlap64
min_chars100
Usage This Month
Queries1.2M
Indexed892K chunks
Latency p99284ms
The retrieval infrastructure serious AI teams rely on
Hybrid Search
Combine dense vector search with sparse BM25 retrieval using Reciprocal Rank Fusion. Get the precision of keyword search and the recall of semantic search in one request.
Flexible Chunking
Configure chunking strategy per document type — fixed-size, semantic, hierarchical, or custom. Fine-tune overlap, max tokens, and metadata extraction per ingestion pipeline.
Citation-Aware Responses
Every generated response includes structured citations with document ID, chunk ID, page number, and confidence score. Parse and display citations however your UI requires.
Pipeline Visualization
Debug retrieval pipelines visually. See which chunks were retrieved, how they were reranked, and exactly which text was used to generate each part of the response.
Multi-Language SDKs
Official SDKs for Python, TypeScript, Go, and Java. Full type safety, async support, streaming responses, and comprehensive examples for every retrieval pattern.
