This release adds the following enhancements and bug fixes:

• Update Dockerfile to work with latest version of autoawq and torch (#28)

This release adds the following enhancements and bug fixes:

• Incorrect call to self.extractor using DATA env argument in rag.py (#26, #27)

This release adds the following enhancements and bug fixes:

• Add parameter for setting the textractor backend (#22)

This release adds the following enhancements and bug fixes:

• Update default models (#20)
• Pin autoawq to not require flash-attn (#21)

This release adds the following enhancements and bug fixes:

• Upgrade deps to use latest version of AutoAWQ (#19)

This release adds the following enhancements and bug fixes:

• Rebuild Docker images for txtai 7.5 (#18)

This release adds the following enhancements and bug fixes:

• Rebuild Docker images for txtai 7.4 (#14)

This release adds the following enhancements and bug fixes:

• Adjust the maximum input length / chunk inputs (#11)
• Add parameter to set the RAG context (#12)
• Add parameter to set the example queries (#13)

This release adds the following enhancements and bug fixes:

• API address (#7)
• Add ability to persist embeddings index (#8)
• Upsert DATA after embeddings index has been created (#9)
• Add command to show current settings (#10)

This release adds the following enhancements and bug fixes:

• Is rag Linux only? Error on Mac M2 (#1)
• Using Ollama models (#2)
• Deduplicate Entity Graph for GraphRAG (#3)
• Add project badges (#4)
• Update Dockerfile to use requirements.txt (#5)
• Only require autoawq for x86_64 (#6)