Dify BEATS Assistant APIs and GPTs| Create ANY LLM Apps in SECONDS with NO Code #llm

Dify is an LLM application development platform that has already seen over 100,000 applications built on Dify.AI.
It integrates the concepts of Backend as a Service and LLMOps, covering the core tech stack required for building generative AI-native applications, including a built-in RAG engine. With Dify, you can self-deploy capabilities similar to Assistants API and GPTs based on any LLMs.
Dify.AI new realease Surpassing the Assistants API – Dify's RAG Demonstrates an Impressive 20% Improvement
Develop Assistants API and GPTs leveraging any LLMs through DIFY. (Whether closed source or open-source, it doesn't make a difference.)

**Dify.AI's Dataset Module Update Highlights:**

1. **Enhanced RAG Technology:**
- Dify.AI's dataset module incorporates advanced Retrieval-Augmented Generation (RAG) technology.
- RAG is crucial for vector search, significantly enhancing the question-answering capabilities of Large Language Models (LLMs).

2. **Hybrid Search Capabilities:**
- Dataset upload capabilities have been expanded with multiple search options.
- Users can now choose between vector search, full-text search, and a novel hybrid search that combines the strengths of both methods.

3. **Rerank Model Implementation:**
- A new rerank model has been introduced, allowing for semantic re-ranking of search results obtained from various technologies.
- Users can configure this feature in the search settings to pinpoint answers that align most accurately with their queries.

4. **Multi-path Retrieval for Knowledge Base Q&A:**
- Tailored for knowledge base question-answering using multiple datasets.
- This feature concurrently considers all relevant datasets, ensuring the extraction of the most pertinent text segments from each dataset.

LINKS:

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#openai #ollama #webui #github #python #llm #largelanguagemodels
#AI #DifyTool #AIApplications #Innovation #Tech #AIRevolution

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