Evaluation and Hallucination Mitigation

Use tools like RAGAS, TruLens, and LLM Benchmarks to evaluate answer grounding, factuality, and retrieval relevance. Apply hallucination detection and fallback strategies using AI filters and human-in-the-loop models.

Multi-Stage Retrieval Optimization

Enhance retrieval accuracy using hybrid search (semantic + keyword) with tools like Weaviate, Pinecone, Elasticsearch, and Vespa. We implement reranking layers using Cohere Rerank, BGE, or OpenAI Embedding APIs to ensure high-relevance context.

Multi-Stage Retrieval Optimization

Enhance retrieval accuracy using hybrid search (semantic + keyword) with tools like Weaviate, Pinecone, Elasticsearch, and Vespa. We implement reranking layers using Cohere Rerank, BGE, or OpenAI Embedding APIs to ensure high-relevance context.

Chunking, Embedding, and Indexing

Apply intelligent chunking strategies (recursive, semantic-aware) and embed with models like OpenAI Ada, Hugging Face Instructor-XL, or Cohere. Index data into scalable vector DBs using FAISS, Qdrant, or Chroma for low-latency lookups.

Context Window Management

We integrate with models such as GPT-4, Claude, Mistral, or LLaMA, optimizing prompt structure, context window limits, and grounding techniques to maximize performance and accuracy in long-form enterprise use cases.

Dynamic RAG for Real-Time Systems

Implement real-time RAG for dynamic datasets like support tickets, financial news, or IoT telemetry using streaming embeddings and continuously updated indexes.