| | Late Chunking: Balancing Precision and Cost in Long Context Retrieval (weaviate.io) |
| 2 points by l1am0 34 days ago | past |
|
| | The Limit in the Loop (weaviate.io) |
| 2 points by gmays 42 days ago | past |
|
| | Hybrid Search vs. Agentic Search Benchmarks (weaviate.io) |
| 1 point by bobvanluijt 6 months ago | past | 1 comment |
|
| | Compress Vectors by 4x by using 8-bit Rotational Quantization (weaviate.io) |
| 3 points by bobvanluijt 6 months ago | past |
|
| | Weaviate: The AI-native database for a new generation of software (weaviate.io) |
| 2 points by doener 8 months ago | past |
|
| | Exploring RAG and GraphRAG: Understanding when and how to use both (weaviate.io) |
| 2 points by bobvanluijt 11 months ago | past |
|
| | Overview of Late Interaction Retrieval Models: ColBERT, ColPali, and ColQwen (weaviate.io) |
| 2 points by thirdtrigger 11 months ago | past |
|
| | Weaviate Transformation Agent (weaviate.io) |
| 1 point by bobvanluijt on March 11, 2025 | past |
|
| | BlockMax Wand: How Weaviate Achieved 10x Faster Keyword Search (weaviate.io) |
| 2 points by afordich on Feb 26, 2025 | past |
|
| | Improved filtered vector search with ACORN (weaviate.io) |
| 2 points by bobvanluijt on Jan 3, 2025 | past |
|
| | Late Chunking: Balancing Precision and Cost in Long Context Retrieval (weaviate.io) |
| 2 points by handfuloflight on Nov 24, 2024 | past | 1 comment |
|
| | Detailed Explanation of Vector Search (weaviate.io) |
| 2 points by bobvanluijt on Nov 22, 2024 | past |
|
| | What Is Agentic RAG? (weaviate.io) |
| 2 points by bobvanluijt on Nov 7, 2024 | past |
|
| | Late Chunking: Balancing Precision and Cost in Long Context Retrieval (weaviate.io) |
| 1 point by EcommerceFlow on Sept 6, 2024 | past |
|
| | Weaviate releases hot, warm, and cold storage tiers (weaviate.io) |
| 3 points by bobvanluijt on July 30, 2024 | past | 1 comment |
|
| | Show HN: Evaluation Metrics for Search Systems (weaviate.io) |
| 1 point by edichief on June 6, 2024 | past |
|
| | Evaluation Metrics for Search and Recommendation Systems (weaviate.io) |
| 3 points by bobvanluijt on May 29, 2024 | past |
|
| | Using a vector database to find Waldo (weaviate.io) |
| 2 points by bobismyuncle on May 20, 2024 | past |
|
| | 32x reduced memory usage with binary quantization (weaviate.io) |
| 2 points by riadsila on April 12, 2024 | past |
|
| | Boosting Vector Search Speed by 40% with AVX512 on Emerald Rapids (weaviate.io) |
| 9 points by zainhasan12 on March 26, 2024 | past | 3 comments |
|
| | Weaviate 1.23 Released (weaviate.io) |
| 1 point by bobvanluijt on Dec 20, 2023 | past |
|
| | New in Weaviate 1.22: v4 Python client with gRPC support (weaviate.io) |
| 1 point by hc32 on Nov 1, 2023 | past |
|
| | We Fine-Tuned a LlaMA 7B Language Model to Use GraphQL APIs (weaviate.io) |
| 4 points by edichief on Oct 24, 2023 | past |
|
| | New Weaviate Python Client API (weaviate.io) |
| 2 points by hc32 on Oct 2, 2023 | past |
|
| | Addressing challenges of multimodal embedding models (weaviate.io) |
| 1 point by hc32 on Sept 29, 2023 | past |
|
| | How to Reduce Memory Requirements with Product Quantization (weaviate.io) |
| 44 points by hc32 on Sept 28, 2023 | past | 5 comments |
|
| | Distance Metrics in Vector Search (weaviate.io) |
| 3 points by hc32 on Sept 27, 2023 | past |
|
| | What Is a Vector Database? (weaviate.io) |
| 25 points by hc32 on Sept 26, 2023 | past | 2 comments |
|
| | Gorilla LLM <> Weaviate – natural language commands into GraphQL (weaviate.io) |
| 15 points by bobvanluijt on Sept 11, 2023 | past | 1 comment |
|
| | Use relative score fusion to combine and rank vector and keyword search results (weaviate.io) |
| 3 points by pvpv on Aug 30, 2023 | past | 2 comments |
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| More |
