Pongo
Pongo adalah platform yang mengurangi halusinasi dalam alur kerja RAG sebesar 80% dengan hanya 1 baris kode menggunakan filter semantik kami.
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Deskripsi
Reduce LLM Hallucinations by 80. Cut hallucinations for RAG workflows with just 1 line of code using our semantic filter. Pongo has made it incredibly easy to get accurate results when building RAG pipelines.
Cara menggunakan Pongo?
Pongo sits right on top of your existing pipeline whether you use a vector database or Elasticsearch. Just send us your top 100-200 search results and we'll return the relevant results.
Fitur inti dari Pongo:
1️⃣
Semantic Filter for RAG Workflows
2️⃣
Utilizes Multiple State of the Art Semantic Similarity Models
3️⃣
Proprietary Ranking Algorithm
4️⃣
Production Ready
5️⃣
Lightning Fast
Mengapa bisa digunakan Pongo?
| # | Kasus Penggunaan | Status | |
|---|---|---|---|
| # 1 | Reduce LLM Hallucinations for RAG Workflows | ✅ | |
| # 2 | Improve Search Relevance in Existing Pipelines | ✅ | |
| # 3 | Ensure Consistent Latency for High Request Volumes | ✅ | |
Dikembangkan oleh Pongo?
Parsa Khazaeepoul, AI2 Startup Incubator. Pongo Technologies Inc, Seattle, WA, USA.