PythonBest
RAG Pipeline Pro
Vector search + LLM streaming with PGVector and OpenAI.
4.9 (12.400) 12.4k booked v2.0 · updated recently
Starting from$49$89
Final price depends on your requirements, integrations and timeline.
Tailored to your stack · NDA available
Python
RAG Pipeline Pro
v2.0 · MIT
Overview
RAG Pipeline Pro is an ideal entry point for developers and startups that want to launch retrieval-augmented AI products quickly without giving up production credibility. A full-stack retrieval workflow starter combining document ingestion, embedding generation, vector storage, semantic retrieval, and LLM response streaming into a usable baseline for real applications. Optimized for fast prototyping while keeping production patterns in mind: chunking strategy, retrieval quality, response transparency, and scalable architecture.
Common use cases
Internal knowledge assistantsHelp center botsResearch copilotsPolicy searchDocumentation chatDomain Q&A
What's inside
- Tailored to your stackBuilt around your chosen language, framework, providers and deployment target.
- Production-ready patternsStreaming, retries, observability and guardrails baked in for real traffic.
- Multi-provider readySwap between OpenAI, Anthropic, Mistral, Azure or local models with one config.
- Deployment recipesDrop-in guides for Vercel, Fly.io, Cloudflare Workers, Docker and Kubernetes.
- Docs, tests & example appComprehensive docs, integration tests and a reference app to learn from.
- Priority implementation supportDirect help from the team that built it during integration and rollout.
Why developers love it
Fast
Streaming responses and low-latency patterns out of the box.
Readable
Idiomatic, well-commented code your team can own.
Safe
Input validation, retries and cost guardrails included.