6 posts about information retrieval by 5 contributors.
Know information retrieval? Share what you know with developers who are learning it.
Learn how to use .NET and AI services to extract entities, relationships, and classifications from enterprise documents for searchable knowledge repositories.
Unlock the power of TF-IDF! Learn how this essential NLP technique identifies important words in documents for search, classification, and more. Master text processing!
Unlock semantic search! Learn how vector databases and AI embeddings revolutionize information retrieval, enabling context-aware results beyond keyword matching.
Unlock the power of governed AI with context engineering! Learn how to filter, shape, and cite information for safer, cheaper, and more auditable outputs. This article provides a practical guide to transforming raw data into atomic claims, ensuring policy compliance, freshness, and verifiable facts. Improve prompt performance and reduce costs by implementing eligibility filters, minimal-span citations, and fail-closed validators.
Master context engineering for superior prompt performance! Learn to filter sources by eligibility (tenant, license, freshness), shape content into atomic claims with timestamps and IDs, and enforce minimal-span citations. This approach ensures cheaper prompts, higher acceptance rates, traceable answers, and mitigates risks like policy violations and stale information. Improve your AI's accuracy and reliability today!
Explore the optimal applications of ChatGPT, delving into its prowess in natural language processing and contextual understanding. Discover effective strategies for conducting targeted searches within specific contexts, enhancing information retrieval and query precision.
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