Technology · Python & AI/ML
Agentic loops
via python.
We build modern artificial intelligence and machine learning layers. From semantic vector search engines to agentic LLM routing, custom RAG schemas, and fast FastAPI calculation nodes.
Python & AI Capability
State-of-the-art model orchestration with production-grade stability
Large Language Models & Agentic AI
We integrate Gemini, Claude, and OpenAI APIs into clean custom agentic loops. We configure function-calling parameters and structured JSON output modes.
Vector Databases & Search
Implementing pgvector, Pinecone, or Milvus schemas. We configure cosine-similarity metrics and HNSW indexes to run semantic searches instantly.
Retrieval-Augmented Generation (RAG)
We build advanced RAG architectures using recursive chunking, reranking models, and context compression to eliminate hallucinations.
Asynchronous Worker Pipelines
Using FastAPI, Celery, and Redis queues, we offload heavy AI computation and model fine-tuning tasks to background threads.
Vector & Pipeline Performance
Proven response latencies, minimized hallucinations.
<500msSemantic search roundtrip speeds
98%+Reranker query matching accuracy
10M+Vector database embeddings indexed