Comments (3)
davidmezzetti
commented on July 29, 2024
1
Better late than never but this is addressed in v2.0 of txtai
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davidmezzetti
commented on July 29, 2024
Thank you for the suggestion and kind words! Will look into batch search.
Regarding nmslib, the reason I went with the header library was that nmslib was fuzzy on the license. It mentioned a core piece was GPL. I'll research this further.
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Fanchouille
commented on July 29, 2024
Thanks for your answer
Sorry I did not look at the license issue.
As hnswlib is created by the same team, it provides batched queries with knn_query :
I believe Faiss supports it the same way by just passing matrix queries instead of vector query.
Annoy doesn't seem to expose such a functionality.
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Related Issues (20)
- Add RAG API endpoint
- Rename Extractor pipeline to RAG
- Add RAG deepdive notebook
- json Response Error when trying to use ollama embeddings in txtai HOT 3
- Feature request : Advanced Reasoning and Inference HOT 1
- Feature request : Enhanced Geospatial and Temporal Search HOT 1
- Feature request : LLM Integration for Knowledge Graph Enhancement HOT 3
- Feature request : Advanced Ontology Management HOT 2
- Add RAG example application
- Segmentation fault when calling embeddings.index HOT 8
- Support max_seq_length parameter with model pooling
- Fix issue with setting quantize=False in HFTrainer pipeline
- Improve textractor pipeline
- Support `<pre>` blocks with Textractor
- Translation: AttributeError: 'ModelInfo' object has no attribute 'modelId' HOT 5
- Example code (10_Extract_text_from_documents.ipynb) does not work: No module named 'txtai.pipeline'; 'txtai' is not a package HOT 10
- Update HF LLM to reduce noisy warnings
- Add new functionality to RAG application
- pipeline not detected on MacOS HOT 4
- 1
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