LlamaIndex update 2023–10–10
Blog post from LlamaIndex
LlamaIndex's latest update highlights significant advancements in Retrieval Augmented Generation (RAG) and related technologies, featuring integrations and enhancements across various platforms. Noteworthy updates include the introduction of a one-code-line integration with Arize AI for comprehensive RAG pipeline observability, support for additional Hugging Face embedding models, and experimental multi-document agents for advanced queries. The update also covers the launch of the "RetrieverEvaluator" for improved retrieval assessments and OpenAI's function calling fine-tuning to enhance data extraction. Furthermore, the update discusses new collaborations, such as integrations with Neo4j, TimescaleDB, BraintrustData, and others, aimed at enhancing retrieval capabilities and data management. Additionally, tutorials and webinars are offered to help users build and optimize their RAG solutions, showcasing various projects and strategies within the LlamaIndex ecosystem.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| RAG | 28 | 805 | 112 | 44 | +64% |
| LLM | 15 | 3,178 | 313 | 123 | +28% |
| Vector Search | 12 | 1,774 | 225 | 97 | +12% |
| Observability | 5 | 1,306 | 283 | 94 | -2% |
| AI Model Fine-tuning | 4 | 659 | 128 | 71 | +15% |
| Loop engineering | 2 | 2 | 1 | 1 | +100% |
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