RAG Pipeline Development
We design and build end-to-end RAG pipelines that ground LLM responses in your proprietary data — from document ingestion and chunking to embedding generation, vector storage with Pinecone, Weaviate, ChromaDB, or pgvector, and intelligent retrieval with re-ranking.
LLM Fine-Tuning & Deployment
Fine-tune open-source and commercial LLMs on your domain-specific data to achieve superior accuracy. We work with OpenAI, Claude, Mistral, LLaMA, and deploy models using vLLM, Ollama, and HuggingFace for cost-effective inference at scale.
RAG & LLM Team Augmentation
Augment your team with experienced AI engineers who specialize in RAG architectures, prompt engineering, vector databases, and LLM integration to accelerate your AI initiatives.
Why Choose Our RAG & LLM Solutions Development Company
Discover why companies trust Pine Technologies for their RAG and LLM development needs.
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RAG & LLM Solutions FAQ
What is RAG and how does it work?
What is RAG and how does it work?
Retrieval-Augmented Generation (RAG) is a technique that enhances LLM responses by retrieving relevant information from your proprietary data before generating an answer. Your documents are processed into embeddings and stored in a vector database. When a user asks a question, the system retrieves the most relevant chunks and feeds them to the LLM as context, producing accurate, grounded responses.
What vector databases and tools do you work with?
What vector databases and tools do you work with?
We work with all major vector databases including Pinecone, Weaviate, ChromaDB, pgvector (PostgreSQL), Qdrant, and Milvus. For RAG orchestration we use LangChain and LlamaIndex. For embeddings we leverage OpenAI, Cohere, and open-source models from HuggingFace. We select the optimal stack based on your data volume, query patterns, and infrastructure preferences.
Can you fine-tune LLMs on our company's data?
Can you fine-tune LLMs on our company's data?
Yes, we provide end-to-end LLM fine-tuning services. We help you prepare training datasets, select the right base model (OpenAI, Mistral, LLaMA, or others), run the fine-tuning process, evaluate model performance, and deploy the fine-tuned model for production inference. Fine-tuning is ideal when you need the model to adopt your domain terminology, tone, or specialized knowledge.
How do you ensure RAG response accuracy and reduce hallucinations?
How do you ensure RAG response accuracy and reduce hallucinations?
We employ multiple strategies to maximize accuracy including advanced chunking with overlap, hybrid search combining semantic and keyword retrieval, re-ranking retrieved documents, metadata filtering, citation tracking back to source documents, and comprehensive evaluation frameworks. We also implement guardrails and confidence scoring to flag low-confidence responses.
Can you deploy LLMs on our own infrastructure for data privacy?
Can you deploy LLMs on our own infrastructure for data privacy?
Yes, we specialize in on-premise and private cloud LLM deployments. We use tools like Ollama, vLLM, and HuggingFace Text Generation Inference to run open-source models on your own servers or private cloud. This ensures your sensitive data never leaves your infrastructure while still benefiting from powerful AI capabilities.
What is the cost of RAG and LLM development with Pine Technologies?
What is the cost of RAG and LLM development with Pine Technologies?
Our RAG and LLM development services start at $1500/month for staff augmentation with experienced AI engineers. Project-based engagements are scoped based on data volume, pipeline complexity, model requirements, and deployment needs. We offer flexible models including dedicated AI teams, project-based development, and consulting engagements.
About Pine Technologies
Pine Technologies is a custom software development company and IT staff augmentation agency headquartered in Pakistan and registered as a legal entity in Texas, USA. We serve clients across the United States, United Kingdom, European Union, and Australia. Our team of pre-vetted developers and engineers specialize in RAG & LLM Solutions and other modern technologies including web development, mobile apps, AI/ML, cloud services, DevOps, and UI/UX design. Starting at $1,500/month, we help businesses scale their technology teams quickly and cost-effectively.
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